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Multi-graph fusion for multi-view spectral clustering
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00500-016-2160-8openalex-snapshot
A Nyström spectral clustering algorithm based on probability incremental sampling
inferredcites →https://doi.org/10.1016/j.inffus.2018.03.002openalex-snapshot
Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization
inferredcites →https://doi.org/10.1016/j.ins.2017.11.016openalex-snapshot
A semi-supervised approximate spectral clustering algorithm based on HMRF model
inferredcites →https://doi.org/10.1016/j.ins.2019.09.079openalex-snapshot
Auto-weighted multi-view co-clustering with bipartite graphs
inferredcites →https://doi.org/10.1016/j.knosys.2014.12.014openalex-snapshot
Automatic image annotation via compact graph based semi-supervised learning
inferredcites →https://doi.org/10.1016/j.knosys.2018.05.017openalex-snapshot
Self-weighted multi-view clustering with soft capped norm
inferredcites →https://doi.org/10.1016/j.knosys.2018.05.034openalex-snapshot
An improved density peaks clustering algorithm with fast finding cluster centers
inferredcites →https://doi.org/10.1016/j.knosys.2018.06.016openalex-snapshot
Consensus learning guided multi-view unsupervised feature selection
inferredcites →https://doi.org/10.1016/j.knosys.2018.09.009openalex-snapshot
Low-rank kernel learning for graph-based clustering
inferredcites →https://doi.org/10.1016/j.knosys.2018.10.001openalex-snapshot
A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE
inferredcites →https://doi.org/10.1016/j.knosys.2018.10.022openalex-snapshot
A study of graph-based system for multi-view clustering
inferredcites →https://doi.org/10.1016/j.knosys.2018.11.007openalex-snapshot
A multiway p-spectral clustering algorithm
inferredcites →https://doi.org/10.1016/j.neucom.2017.06.005openalex-snapshot
Kernel-driven similarity learning
inferredcites →https://doi.org/10.1016/j.neucom.2019.07.086openalex-snapshot
Clustering with similarity preserving
inferredcites →https://doi.org/10.1016/j.patcog.2011.06.004openalex-snapshot
A feature group weighting method for subspace clustering of high-dimensional data
inferredcites →https://doi.org/10.1016/j.patcog.2018.07.009openalex-snapshot
Multi-view label embedding
inferredcites →https://doi.org/10.1016/j.patcog.2018.11.007openalex-snapshot
Auto-weighted multi-view clustering via kernelized graph learning
inferredcites →https://doi.org/10.1016/j.patcog.2019.107015openalex-snapshot
Auto-weighted multi-view clustering via deep matrix decomposition
inferredcites →https://doi.org/10.1073/pnas.35.11.652openalex-snapshot
On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations I
inferredcites →https://doi.org/10.1109/bigdata.2017.8257918openalex-snapshot
Multi-view graph learning with adaptive label propagation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298657openalex-snapshot
Diversity-induced Multi-view Subspace Clustering
inferredcites →https://doi.org/10.1109/cvpr.2017.461openalex-snapshot
Latent Multi-view Subspace Clustering
inferredcites →https://doi.org/10.1109/cvpr.2017.8openalex-snapshot
Exclusivity-Consistency Regularized Multi-view Subspace Clustering
inferredcites →https://doi.org/10.1109/icdm.2009.32openalex-snapshot
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
inferredcites →https://doi.org/10.1109/icdm.2012.43openalex-snapshot
Kernel-Based Weighted Multi-view Clustering
inferredcites →https://doi.org/10.1109/icpr.2014.648openalex-snapshot
Multiple Kernel Learning Based Multi-view Spectral Clustering
inferredcites →https://doi.org/10.1109/tcyb.2017.2751646openalex-snapshot
Graph Learning for Multiview Clustering
inferredcites →https://doi.org/10.1109/tcyb.2018.2887094openalex-snapshot
Robust Graph Learning From Noisy Data
inferredcites →https://doi.org/10.1109/tip.2016.2547180openalex-snapshot
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification
inferredcites →https://doi.org/10.1109/tip.2017.2665976openalex-snapshot
Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering
inferredcites →https://doi.org/10.1109/tkde.2011.262openalex-snapshot
TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data
inferredcites →https://doi.org/10.1109/tkde.2013.114openalex-snapshot
Fast Low-Rank Subspace Segmentation
inferredcites →https://doi.org/10.1109/tkde.2013.182openalex-snapshot
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood
inferredcites →https://doi.org/10.1109/tpami.2012.88openalex-snapshot
Robust Recovery of Subspace Structures by Low-Rank Representation
inferredcites →https://doi.org/10.1109/tpami.2013.57openalex-snapshot
Sparse Subspace Clustering: Algorithm, Theory, and Applications
inferredcites →https://doi.org/10.1109/tpami.2015.2400461openalex-snapshot
Robust Structured Subspace Learning for Data Representation
inferredcites →https://doi.org/10.1109/tpami.2018.2877660openalex-snapshot
Generalized Latent Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tpami.2018.2879108openalex-snapshot
Late Fusion Incomplete Multi-View Clustering
inferredcites →https://doi.org/10.1137/1.9781611972832.28openalex-snapshot
Multi-View Clustering via Joint Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1137/1.9781611973440openalex-snapshot
Proceedings of the 2014 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1145/2623330openalex-snapshot
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1145/2623330.2623726openalex-snapshot
Clustering and projected clustering with adaptive neighbors
inferredcites →https://doi.org/10.1145/2934693openalex-snapshot
Sampling for Nyström Extension-Based Spectral Clustering
inferredcites →https://doi.org/10.1145/3182384openalex-snapshot
Consensus Guided Multi-View Clustering
inferredcites →https://doi.org/10.1145/3343031.3351023openalex-snapshot
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
inferredcites →https://doi.org/10.1162/neco_a_01055openalex-snapshot
Adaptive Structure Concept Factorization for Multiview Clustering
inferredcites →https://doi.org/10.1609/aaai.v27i1.8565openalex-snapshot
Convex Subspace Representation Learning from Multi-View Data
inferredcites →https://doi.org/10.1609/aaai.v28i1.8950openalex-snapshot
Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
inferredcites →https://doi.org/10.1609/aaai.v29i1.9598openalex-snapshot
Large-Scale Multi-View Spectral Clustering via Bipartite Graph
inferredcites →https://doi.org/10.1609/aaai.v31i1.10853openalex-snapshot
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
inferredcites →https://doi.org/10.1609/aaai.v31i1.10893openalex-snapshot
Multiple Kernel k-Means with Incomplete Kernels
inferredcites →https://doi.org/10.1609/aaai.v31i1.10909openalex-snapshot
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours
inferredcites →https://doi.org/10.1609/aaai.v32i1.11621openalex-snapshot
Reliable Multi-View Clustering
inferredcites →https://doi.org/10.24963/ijcai.2017/357openalex-snapshot
Self-weighted Multiview Clustering with Multiple Graphs
inferredcites →https://doi.org/10.24963/ijcai.2019/375openalex-snapshot
Multiple Partitions Aligned Clustering
inferredcites →https://doi.org/10.48550/arxiv.1011.0997openalex-snapshot
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
inferredcites →https://doi.org/10.48550/arxiv.1608.05560openalex-snapshot
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
inferredcites →https://doi.org/10.48550/arxiv.1709.08374openalex-snapshot
Deep Sparse Subspace Clustering
inferredcites →https://doi.org/10.48550/arxiv.1712.06246openalex-snapshot
A Survey on Multi-View Clustering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4790486openalex-extracted
One-Step Multi-View Spectral Clustering Via Subspaces Fusion on Grassmann Manifold
inferred← citeshttps://doi.org/10.1002/cpe.70134openalex-snapshot
Dual‐Weighted Multiview Clustering Based on Anchor
inferred← citeshttps://doi.org/10.1002/int.22319openalex-snapshot
Kernel‐based low‐rank tensorized multiview spectral clustering
inferred← citeshttps://doi.org/10.1007/978-3-030-46931-3_3openalex-snapshot
Large-Scale Spectral Clustering with Stochastic Nyström Approximation
inferred← citeshttps://doi.org/10.1007/978-3-030-64214-3_10openalex-snapshot
An Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping for Power Load Curve Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-69756-3_12openalex-snapshot
Multiview Similarity Learning for Robust Visual Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-04245-4_31openalex-snapshot
Multiview Learning via Non-negative Matrix Factorization for Clustering Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-20490-6_1openalex-snapshot
Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-46781-3_3openalex-snapshot
Joint Multiple Efficient Neighbors and Graph Learning for Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-57808-3_7openalex-snapshot
Deep Friendly Embedding Space for Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-72104-5_5openalex-snapshot
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis
inferred← citeshttps://doi.org/10.1007/978-981-15-7670-6_23openalex-snapshot
Deep K-Means: A Simple and Effective Method for Data Clustering
inferred← citeshttps://doi.org/10.1007/978-981-96-0811-9_29openalex-snapshot
Deep Contrastive Multi-view Clustering Under Semantic Feature Guidance
inferred← citeshttps://doi.org/10.1007/978-981-97-7679-5_10openalex-snapshot
Graph-Based Semi-supervised Learning for Multi-view Data Analysis
inferred← citeshttps://doi.org/10.1007/978-981-99-0185-2_2openalex-snapshot
Mathematical Foundations of Hypergraph
inferred← citeshttps://doi.org/10.1007/978-981-99-5968-6_9openalex-snapshot
Design and Implementation of Key-Value Database for Ship Virtual Test Platform Based on Distributed System
inferred← citeshttps://doi.org/10.1007/s00138-023-01497-wopenalex-snapshot
Multi-view spectral clustering based on constrained Laplacian rank
inferred← citeshttps://doi.org/10.1007/s00500-025-10533-yopenalex-snapshot
One-phase multi-view clustering with unified graph and data representation convolution
inferred← citeshttps://doi.org/10.1007/s00500-026-11450-4openalex-snapshot
Simultaneous unsupervised feature selection with adaptive loss constraint and discrete binary hashing for clustering
inferred← citeshttps://doi.org/10.1007/s00521-020-05185-yopenalex-snapshot
Multi-view clustering via neighbor domain correlation learning
inferred← citeshttps://doi.org/10.1007/s00521-022-06927-wopenalex-snapshot
Multi-view clustering with dual tensors
inferred← citeshttps://doi.org/10.1007/s00521-023-08279-5openalex-snapshot
Tensor-based multi-feature affinity graph learning for natural image segmentation
inferred← citeshttps://doi.org/10.1007/s00521-023-08975-2openalex-snapshot
A novel graph-based multi-view spectral clustering: application to X-ray image analysis for COVID-19 recognition
inferred← citeshttps://doi.org/10.1007/s00521-023-09054-2openalex-snapshot
Consider high-order consistency for multi-view clustering
inferred← citeshttps://doi.org/10.1007/s00521-024-09560-xopenalex-snapshot
A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity
inferred← citeshttps://doi.org/10.1007/s10044-024-01364-yopenalex-snapshot
Diverse embeddings learning for multi-view clustering
inferred← citeshttps://doi.org/10.1007/s10044-024-01408-3openalex-snapshot
Kernelized multi-view graph clustering via graph structure preserving and consensus affinity graph learning
inferred← citeshttps://doi.org/10.1007/s10044-025-01517-7openalex-snapshot
High-order tensor based multi-view clustering via enhanced adaptive graph propagation
inferred← citeshttps://doi.org/10.1007/s10462-023-10440-4openalex-snapshot
Direct multi-view spectral clustering with consistent kernelized graph and convolved nonnegative representation
inferred← citeshttps://doi.org/10.1007/s10462-024-10785-4openalex-snapshot
The methods for improving large-scale multi-view clustering efficiency: a survey
inferred← citeshttps://doi.org/10.1007/s10462-025-11240-8openalex-snapshot
Advanced unsupervised learning: a comprehensive overview of multi-view clustering techniques
inferred← citeshttps://doi.org/10.1007/s10479-025-06916-xopenalex-snapshot
Multi-view graph learning based on efficient neighbors
inferred← citeshttps://doi.org/10.1007/s10489-020-01864-4openalex-snapshot
Multi-view clustering via adversarial view embedding and adaptive view fusion
inferred← citeshttps://doi.org/10.1007/s10489-020-02126-zopenalex-snapshot
Diversity and consistency embedding learning for multi-view subspace clustering
inferred← citeshttps://doi.org/10.1007/s10489-021-02405-3openalex-snapshot
Weighted multi-view co-clustering (WMVCC) for sparse data
inferred← citeshttps://doi.org/10.1007/s10489-021-02417-zopenalex-snapshot
Linear neighborhood reconstruction constrained latent subspace discovery for incomplete multi-view clustering
inferred← citeshttps://doi.org/10.1007/s10489-021-02895-1openalex-snapshot
Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views
inferred← citeshttps://doi.org/10.1007/s10489-022-03493-5openalex-snapshot
Robust semi-supervised clustering via data transductive warping
inferred← citeshttps://doi.org/10.1007/s10489-022-04267-9openalex-snapshot
Adaptive sparse graph learning for multi-view spectral clustering
inferred← citeshttps://doi.org/10.1007/s10489-022-04385-4openalex-snapshot
Multi-view co-clustering with multi-similarity
inferred← citeshttps://doi.org/10.1007/s10489-023-05113-2openalex-snapshot
Deep multi-view fuzzy k-means with weight allocation and entropy regularization
inferred← citeshttps://doi.org/10.1007/s10489-025-06376-7openalex-snapshot
A robust hierarchical clustering algorithm for automatic identification of clusters
inferred← citeshttps://doi.org/10.1007/s10489-026-07135-yopenalex-snapshot
Multi-view clustering via hybrid matrix factorization and label correction
inferred← citeshttps://doi.org/10.1007/s10489-026-07169-2openalex-snapshot
Fast multi-view clustering with geometric structures
inferred← citeshttps://doi.org/10.1007/s10618-022-00852-1openalex-snapshot
Coupled block diagonal regularization for multi-view subspace clustering
inferred← citeshttps://doi.org/10.1007/s11042-022-12495-xopenalex-snapshot
One-step kernelized sparse clustering on grassmann manifolds
inferred← citeshttps://doi.org/10.1007/s11042-023-15610-8openalex-snapshot
Multiple kernel clustering with structure-preserving and block diagonal property
inferred← citeshttps://doi.org/10.1007/s11042-023-17147-2openalex-snapshot
Spectral clustering based on extended deep ensemble auto encoder with eagle strategy
inferred← citeshttps://doi.org/10.1007/s11063-020-10274-zopenalex-snapshot
Multi-geometric Sparse Subspace Clustering
inferred← citeshttps://doi.org/10.1007/s11063-022-11136-6openalex-snapshot
Multi-view Subspace Clustering Based on Unified Measure Standard
inferred← citeshttps://doi.org/10.1007/s11063-023-11172-wopenalex-snapshot
Incomplete Multi-view Clustering Based on Self-representation
inferred← citeshttps://doi.org/10.1007/s11063-023-11260-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-024-11589-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11432-022-3579-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12559-023-10123-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13042-023-02001-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13042-026-03131-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13748-023-00312-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40305-025-00636-6openalex-snapshot
Multi-view Hypergraph Spectral Clustering via Optimal Transport
inferred← citeshttps://doi.org/10.1007/s40314-026-03728-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40747-024-01509-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41060-026-01262-yopenalex-snapshot
Joint learning of latent similarity and smooth features in attributed graph clustering
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109806openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111278openalex-snapshot
Incomplete multi-view learning: Review, analysis, and prospects
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116122openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110841openalex-snapshot
LRTKS: A low-rank tensor and kernel subspace framework for multi-omics integration and cancer subtype identification
inferred← citeshttps://doi.org/10.1016/j.cosrev.2020.100315openalex-snapshot
A survey of neighborhood construction algorithms for clustering and classifying data points
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100788openalex-snapshot
Dealing with high dimensional multi-view data: A comprehensive review of non-negative matrix factorization approaches in data mining and machine learning
inferred← citeshttps://doi.org/10.1016/j.csbj.2021.04.060openalex-snapshot
Computational strategies for single-cell multi-omics integration
inferred← citeshttps://doi.org/10.1016/j.dsp.2022.103607openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104815openalex-snapshot
Large-scale multi-view spectral clustering based on two-stage well-distributed anchor selection
inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105443openalex-snapshot
Straightforward tensorized anchor graph learning for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104414openalex-snapshot
Locality cross-view regression for feature extraction
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104535openalex-snapshot
K-means – Laplacian clustering revisited
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107452openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107857openalex-snapshot
Breaking down multi-view clustering: A comprehensive review of multi-view approaches for complex data structures
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108336openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111656openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114657openalex-snapshot
MVDF-RSC: Multi-view data fusion via robust spectral clustering for geo-tagged image tagging
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119484openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120272openalex-snapshot
Multi-view clustering based on a multimetric matrix fusion method
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121893openalex-snapshot
Structure learning with consensus label information for multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123402openalex-snapshot
Incomplete multi-view clustering via local and global bagging of anchor graphs
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124191openalex-snapshot
Feature-guided multi-view clustering by jointing local subspace label learning and global label learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124243openalex-snapshot
Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125644openalex-snapshot
Using cross-domain knowledge augmentation to explore comorbidity in electronic health records data
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127194openalex-snapshot
CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127943openalex-snapshot
Learning consensus and complementary bipartite graph through orthogonal transformation for multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134581openalex-snapshot
Towards semantic-faithful multi-view clustering: an optimal neighborhood bipartite graph learning approach
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.09.003openalex-snapshot
Clustering ensemble via structured hypergraph learning
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.09.009openalex-snapshot
Multi-view spectral clustering via constrained nonnegative embedding
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.01.001openalex-snapshot
Neighbor-aware deep multi-view clustering via graph convolutional network
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101832openalex-snapshot
Collaborative structure and feature learning for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102025openalex-snapshot
Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102031openalex-snapshot
Disentanglement Translation Network for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102086openalex-snapshot
Incomplete multiview subspace clustering based on multiple kernel low-redundant representation learning
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102097openalex-snapshot
Discrete correntropy-based multi-view anchor-graph clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102323openalex-snapshot
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion
inferred← citeshttps://doi.org/10.1016/j.ins.2021.01.033openalex-snapshot
Multi-view subspace clustering via partition fusion
inferred← citeshttps://doi.org/10.1016/j.ins.2022.02.018openalex-snapshot
Simultaneous multi-graph learning and clustering for multiview data
inferred← citeshttps://doi.org/10.1016/j.ins.2022.07.119openalex-snapshot
Consensus graph learning for auto-weighted multi-view projection clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2022.07.177openalex-snapshot
Diversity embedding deep matrix factorization for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2022.08.117openalex-snapshot
Multi-view clustering with graph regularized optimal transport
inferred← citeshttps://doi.org/10.1016/j.ins.2022.11.026openalex-snapshot
Robust dimensionality reduction method based on relaxed energy and structure preserving embedding for multiview clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2022.12.063openalex-snapshot
Consensus and complementary regularized non-negative matrix factorization for multi-view image clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2023.01.013openalex-snapshot
Incomplete multi-view clustering via kernelized graph learning
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119418openalex-snapshot
Consistent graph embedding network with optimal transport for incomplete multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120374openalex-snapshot
Anchor-based scalable multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120899openalex-snapshot
Binary spectral clustering for multi-view data
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121396openalex-snapshot
Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121730openalex-snapshot
Multi-view subspace clustering with a consensus tensorized scaled simplex representation
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102466openalex-snapshot
Trio-based collaborative multi-view graph clustering with multiple constraints
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102546openalex-snapshot
A novel multi-view clustering approach via proximity-based factorization targeting structural maintenance and sparsity challenges for text and image categorization
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.102902openalex-snapshot
MTGCN: A multi-task approach for node classification and link prediction in graph data
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.102967openalex-snapshot
Contrastive and attentive graph learning for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104081openalex-snapshot
Deep multi-view subspace clustering via hierarchical diversity optimization of consensus learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104586openalex-snapshot
Multi-view clustering based on the association of graph structure and feature distribution
inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102129openalex-snapshot
Diverse representation-guided graph learning for multi-view metric clustering
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.103003openalex-snapshot
Image annotation based on multi-view robust spectral clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105997openalex-snapshot
Cross-regression for multi-view feature extraction
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106489openalex-snapshot
Robust energy preserving embedding for multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106518openalex-snapshot
Robust multi-view k-means clustering with outlier removal
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106567openalex-snapshot
Outlier-robust multi-view clustering for uncertain data
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106666openalex-snapshot
Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108250openalex-snapshot
Consensus graph and spectral representation for one-step multi-view kernel based clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109342openalex-snapshot
Tensor-based multi-view clustering with consistency exploration and diversity regularization
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109479openalex-snapshot
Learning an enhanced consensus representation for multi-view clustering via latent representation correlation preserving
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109690openalex-snapshot
Multi-view clustering with constructed bipartite graph in embedding space
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110159openalex-snapshot
Learning graph from graph signals: An approach based on sensitivity analysis over a deep learning framework
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110424openalex-snapshot
Inclusivity induced adaptive graph learning for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110578openalex-snapshot
Consensus cluster structure guided multi-view unsupervised feature selection
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110816openalex-snapshot
A multi-view subspace representation learning approach powered by subspace transformation relationship
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110899openalex-snapshot
Semantically consistent multi-view representation learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111020openalex-snapshot
Exclusivity and consistency induced NMF for multi-view representation learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111448openalex-snapshot
Multi-view Semantic Consistency based Information Bottleneck for Clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111871openalex-snapshot
Graph-Driven deep Multi-View Clustering with self-paced learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112247openalex-snapshot
Fast Dynamic Multi-view Clustering with semantic-consistency inheritance
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114158openalex-snapshot
Deep self-weighted multi-view fuzzy clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114510openalex-snapshot
Robust multi-view discrete clustering with unified graph learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.115230openalex-snapshot
Multi-level cross-view feature embedding for partial view-aligned clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115648openalex-snapshot
Tensor rank approximation with graph learning for robust multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115942openalex-snapshot
Dual-branch Bayesian adversarial learning for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116888openalex-snapshot
Support-guided multi-view feature fusion for transductive few-shot learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.127openalex-snapshot
Kernel alignment unsupervised discriminative dimensionality reduction
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.06.087openalex-snapshot
Structured graph optimization for joint spectral embedding and clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.10.007openalex-snapshot
Cross-view graph matching for incomplete multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126685openalex-snapshot
Multi-view semi-supervised learning with adaptive graph fusion
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127742openalex-snapshot
Consensus Multi-view subspace clustering based on Graph Filtering
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128138openalex-snapshot
Multi-view clustering algorithm based on feature learning and structure learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129568openalex-snapshot
One-step Multi-view Spectral Clustering with Subspaces Fusion on Grassmann manifold
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129689openalex-snapshot
Multi-view clustering integrating anchor attribute and structural information
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129921openalex-snapshot
Self-paced learning for anchor-based multi-view clustering: A progressive approach
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134253openalex-snapshot
Prior-constrained multi-view clustering with evidence theory
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134492openalex-snapshot
SSLMVC: Self-supervised label-driven multi-view collaborative clustering
inferred← citeshttps://doi.org/10.1016/j.neunet.2019.10.010openalex-snapshot
Partition level multiview subspace clustering
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.07.020openalex-snapshot
Multi-view spectral clustering via common structure maximization of local and global representations
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.08.031openalex-snapshot
Incremental multi-view spectral clustering with sparse and connected graph learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.11.015openalex-snapshot
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106884openalex-snapshot
Partially multi-view clustering via re-alignment
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108714openalex-snapshot
Beyond local aggregation: Global graph contrastive learning for multi-view fusion
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107508openalex-snapshot
Nonlinear dimensionality reduction for clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107524openalex-snapshot
Multi-view subspace learning via bidirectional sparsity
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107628openalex-snapshot
Robust kernelized graph-based learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107734openalex-snapshot
Cross-modal discriminant adversarial network
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108108openalex-snapshot
Multi-dimensional clustering through fusion of high-order similarities
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108196openalex-snapshot
Consistent and diverse multi-View subspace clustering with structure constraint
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108223openalex-snapshot
Object-based cluster validation with densities
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.109187openalex-snapshot
Pure graph-guided multi-view subspace clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109764openalex-snapshot
Auto-attention mechanism for multi-view deep embedding clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110420openalex-snapshot
Multi-view clustering via pseudo-label guide learning and latent graph structure recovery
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110892openalex-snapshot
Co-regularized optimal high-order graph embedding for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111192openalex-snapshot
Tensorized latent representation with automatic dimensionality selection for multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111495openalex-snapshot
Extremely fast graph integration for semi-supervised learning via Gaussian fields with Neumann approximation
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112919openalex-snapshot
Multi-view spectral clustering based on considering co-proximity of views
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113692openalex-snapshot
Graph-fusion guided data reconstruction for multi-view multi-label feature selection
inferred← citeshttps://doi.org/10.1016/j.patrec.2023.10.027openalex-snapshot
Adaptive graph fusion learning for multi-view spectral clustering
inferred← citeshttps://doi.org/10.1016/j.patrec.2023.11.015openalex-snapshot
Two-step multi-view data classification based on dynamic Graph-ELM
inferred← citeshttps://doi.org/10.1016/j.sigpro.2023.109286openalex-snapshot
Auto-weighted multi-view clustering with the use of an augmented view
inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109729openalex-snapshot
One-step multi-view spectral clustering based on multi-feature similarity fusion
inferred← citeshttps://doi.org/10.1016/j.ymeth.2021.04.015openalex-snapshot
TPQCI: A topology potential-based method to quantify functional influence of copy number variations
inferred← citeshttps://doi.org/10.1038/s41598-022-20358-6openalex-snapshot
An improved multi-view spectral clustering based on tissue-like P systems
inferred← citeshttps://doi.org/10.1038/s42003-025-09312-0openalex-snapshot
Hypergraph-driven spatial multimodal fusion for precise domain delineation and tumor microenvironment decoding
inferred← citeshttps://doi.org/10.1049/cvi2.12299openalex-snapshot
Self‐supervised multi‐view clustering in computer vision: A survey
inferred← citeshttps://doi.org/10.1049/rsn2.12201openalex-snapshot
Unsupervised radar signal recognition based on multi‐block – Multi‐view Low‐Rank Sparse Subspace Clustering
inferred← citeshttps://doi.org/10.1049/sil2.12116openalex-snapshot
Multi‐graph convolutional clustering network
inferred← citeshttps://doi.org/10.1080/10095020.2024.2356243openalex-snapshot
Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data
inferred← citeshttps://doi.org/10.1080/24751839.2025.2479898openalex-snapshot
Multi-view clustering via consensus coefficient matrix and separate segmentation matrices
inferred← citeshttps://doi.org/10.1093/bib/bbac500openalex-snapshot
Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping
inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528635openalex-snapshot
Deep Multi-View Clustering via View-Specific Representation and Global Graph
inferred← citeshttps://doi.org/10.1109/access.2019.2951393openalex-snapshot
Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering
inferred← citeshttps://doi.org/10.1109/access.2023.3260971openalex-snapshot
Self-Weighted Graph-Based Framework for Multi-View Clustering
inferred← citeshttps://doi.org/10.1109/aisp61396.2024.10475309openalex-snapshot
Community Detection on a Modified Adjacency Matrix: A Novel Network Approach in Drug-Drug Interaction
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386245openalex-snapshot
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
inferred← citeshttps://doi.org/10.1109/cisp-bmei60920.2023.10373357openalex-snapshot
Multiple-level Omics Data based Cancer Subtypes Prediction by Multi-view Subspace Learning
inferred← citeshttps://doi.org/10.1109/cyberneticscom55287.2022.9865339openalex-snapshot
Clustering Analysis of Bangla News Articles with TF-IDF & CV Using Mini-Batch K-Means and K-Means
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys60770.2023.00062openalex-snapshot
Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering
inferred← citeshttps://doi.org/10.1109/icalt58122.2023.00111openalex-snapshot
Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01515openalex-snapshot
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01778openalex-snapshot
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
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