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Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor

https://doi.org/10.1145/3589768
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-38067-9_27openalex-snapshot
Soft-Voting Clustering Ensemble
inferredcites →https://doi.org/10.1007/s11263-018-1086-2openalex-snapshot
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
inferredcites →https://doi.org/10.1007/s13042-017-0756-7openalex-snapshot
Clustering ensemble method
inferredcites →https://doi.org/10.1016/j.neucom.2019.04.078openalex-snapshot
Ensemble clustering based on dense representation
inferredcites →https://doi.org/10.1109/allerton.2010.5707106openalex-snapshot
Latent variable graphical model selection via convex optimization
inferredcites →https://doi.org/10.1109/cvpr.2017.15openalex-snapshot
On Compressing Deep Models by Low Rank and Sparse Decomposition
inferredcites →https://doi.org/10.1109/icdm50108.2020.00131openalex-snapshot
Ensemble Learning for Spectral Clustering
inferredcites →https://doi.org/10.1109/jproc.2018.2853498openalex-snapshot
Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications [Scanning the Issue]
inferredcites →https://doi.org/10.1109/jstsp.2018.2879245openalex-snapshot
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications
inferredcites →https://doi.org/10.1109/mgrs.2021.3064051openalex-snapshot
Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing
inferredcites →https://doi.org/10.1109/msp.2018.2826566openalex-snapshot
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
inferredcites →https://doi.org/10.1109/tcyb.2018.2869789openalex-snapshot
Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning
inferredcites →https://doi.org/10.1109/tcyb.2020.2968750openalex-snapshot
Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection
inferredcites →https://doi.org/10.1109/tgrs.2017.2706326openalex-snapshot
Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation
inferredcites →https://doi.org/10.1109/tip.2019.2941319openalex-snapshot
Low-Rank Quaternion Approximation for Color Image Processing
inferredcites →https://doi.org/10.1109/tip.2021.3068646openalex-snapshot
Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tkde.2014.2316512openalex-snapshot
K-Means-Based Consensus Clustering: A Unified View
inferredcites →https://doi.org/10.1109/tkde.2017.2650229openalex-snapshot
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence
inferredcites →https://doi.org/10.1109/tkde.2020.2973981openalex-snapshot
Joint Deep Multi-View Learning for Image Clustering
inferredcites →https://doi.org/10.1109/tnnls.2019.2906867openalex-snapshot
Marginalized Multiview Ensemble Clustering
inferredcites →https://doi.org/10.1109/tnnls.2020.2979685openalex-snapshot
Robust Kernelized Multiview Self-Representation for Subspace Clustering
inferredcites →https://doi.org/10.1109/tpami.2005.113openalex-snapshot
Combining multiple clusterings using evidence accumulation
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.2018.2877660openalex-snapshot
Generalized Latent Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tpami.2019.2891760openalex-snapshot
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
inferredcites →https://doi.org/10.1117/12.234800openalex-snapshot
Clustering methods for video browsing and annotation
inferredcites →https://doi.org/10.1137/110837711openalex-snapshot
Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
inferredcites →https://doi.org/10.1145/1015330.1015414openalex-snapshot
Solving cluster ensemble problems by bipartite graph partitioning
inferredcites →https://doi.org/10.1145/2783258.2783287openalex-snapshot
Spectral Ensemble Clustering
inferredcites →https://doi.org/10.1145/2983323.2983745openalex-snapshot
Robust Spectral Ensemble Clustering
inferredcites →https://doi.org/10.1145/3182384openalex-snapshot
Consensus Guided Multi-View Clustering
inferredcites →https://doi.org/10.1145/3278606openalex-snapshot
Robust Spectral Ensemble Clustering via Rank Minimization
inferredcites →https://doi.org/10.1145/3343031.3351023openalex-snapshot
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
inferredcites →https://doi.org/10.1145/3417337openalex-snapshot
Robust Tensor Recovery with Fiber Outliers for Traffic Events
inferredcites →https://doi.org/10.1145/3494567openalex-snapshot
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
inferredcites →https://doi.org/10.1561/2200000016openalex-snapshot
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
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.v32i1.11617openalex-snapshot
Consistent and Specific Multi-View Subspace Clustering
inferredcites →https://doi.org/10.24963/ijcai.2017/396openalex-snapshot
From Ensemble Clustering to Multi-View Clustering
inferredcites →https://doi.org/10.5555/2736765.2736882openalex-snapshot
A new cluster validity measure and its application to image compression
inferredcites →https://doi.org/10.5555/944919.944973openalex-snapshot
A divisive information theoretic feature clustering algorithm for text classification
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10915-025-02968-0openalex-snapshot
Slice-Wise Irregular Tensor Decomposition and Its Application
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124683openalex-snapshot
A multi-view ensemble clustering approach using joint entropy
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107652openalex-snapshot
Incomplete multi-view clustering via efficient anchor tensor recovery framework
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108795openalex-snapshot
High-order correlation and consistency-aware multi-view clustering via anchor graph learning
inferred← citeshttps://doi.org/10.1080/00401706.2025.2453206openalex-snapshot
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
inferred← citeshttps://doi.org/10.1109/medai62885.2024.00023openalex-snapshot
A Multi-view Clustering Ensemble via Graph Tensor Learning in Medicine Images
inferred← citeshttps://doi.org/10.1109/tetci.2024.3451562openalex-snapshot
Dual Completion Learning for Incomplete Multi-View Clustering
inferred← citeshttps://doi.org/10.1145/3672402openalex-snapshot
MICCF: A Mutual Information Constrained Clustering Framework for Learning Clustering-Oriented Feature Representations
inferred← citeshttps://doi.org/10.1145/3694689openalex-snapshot
Hubness-Enabled Clustering and Recovery for Large-Scale Incomplete Multi-View Data
inferred← citeshttps://doi.org/10.1145/3701235openalex-snapshot
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery
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