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Multi-view clustering via canonical correlation analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11503415_30openalex-snapshot
The Spectral Method for General Mixture Models
inferredcites →https://doi.org/10.1007/11503415_31openalex-snapshot
On Spectral Learning of Mixtures of Distributions
inferredcites →https://doi.org/10.1007/978-3-540-72927-3_8openalex-snapshot
Multi-view Regression Via Canonical Correlation Analysis
inferredcites →https://doi.org/10.1007/978-3-540-85221-6_8openalex-snapshot
Isotropic PCA and Affine-Invariant Clustering
inferredcites →https://doi.org/10.1109/cvpr.2008.4587353openalex-snapshot
Correlational spectral clustering
inferredcites →https://doi.org/10.1109/focs.2008.48openalex-snapshot
Isotropic PCA and Affine-Invariant Clustering
inferredcites →https://doi.org/10.1109/sfcs.2002.1181888openalex-snapshot
A spectral algorithm for learning mixtures of distributions
inferredcites →https://doi.org/10.1109/sffcs.1999.814639openalex-snapshot
Learning mixtures of Gaussians
inferredcites →https://doi.org/10.1109/tassp.1980.1163420openalex-snapshot
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
inferredcites →https://doi.org/10.1145/1273496.1273500openalex-snapshot
Two-view feature generation model for semi-supervised learning
inferredcites →https://doi.org/10.1145/279943.279962openalex-snapshot
Combining labeled and unlabeled data with co-training
inferredcites →https://doi.org/10.1162/0899766042321814openalex-snapshot
Canonical Correlation Analysis: An Overview with Application to Learning Methods
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1214/105051604000000512openalex-snapshot
Learning mixtures of separated nonspherical Gaussians
inferredcites →https://doi.org/10.48550/arxiv.1301.3850openalex-snapshot
A Two-round Variant of EM for Gaussian Mixtures
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inferred← citeshttps://doi.org/10.2139/ssrn.4774828openalex-extracted
Type of Study:Original Papertitle:Structured Multi-View K-Means Clusteringauthor Names and Affiliations:Zitong Zhang (Email: 1810272071@Email.Szu.Edu.Cn)(College of Computer Science and Software, Shenzhen University, Shenzhen, 518060, P.R. China.) Xiaojun Chen* (Email: Xjchen@Szu.Edu.Cn)(College…
inferred← citeshttps://doi.org/10.1002/int.22319openalex-snapshot
Kernel‐based low‐rank tensorized multiview spectral clustering
inferred← citeshttps://doi.org/10.1002/int.22409openalex-snapshot
Partial multiview clustering with locality graph regularization
inferred← citeshttps://doi.org/10.1002/int.22661openalex-snapshot
Spare simple MKKM with semi‐infinite linear program optimization
inferred← citeshttps://doi.org/10.1002/sam.11144openalex-snapshot
Multi‐view predictive partitioning in high dimensions
inferred← citeshttps://doi.org/10.1002/sta4.70108openalex-snapshot
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes
inferred← citeshttps://doi.org/10.1007/978-3-030-00734-8_3openalex-snapshot
Multi-view Clustering with Partial Information
inferred← citeshttps://doi.org/10.1007/978-3-030-01424-7_48openalex-snapshot
Weighted Multi-view Deep Neural Networks for Weather Forecasting
inferred← citeshttps://doi.org/10.1007/978-3-030-02985-2_2openalex-snapshot
Clustering and Its Extensions in the Social Media Domain
inferred← citeshttps://doi.org/10.1007/978-3-030-02985-2_6openalex-snapshot
Community Discovery in Heterogeneous Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-04182-3_57openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-04212-7_3openalex-snapshot
Robust Multi-view Features Fusion Method Based on CNMF
inferred← citeshttps://doi.org/10.1007/978-3-030-14160-8_19openalex-snapshot
Hierarchical Block Matrix Approach for Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-3-030-14799-0_13openalex-snapshot
An Adversarial Learning and Canonical Correlation Analysis Based Cross-Modal Retrieval Model
inferred← citeshttps://doi.org/10.1007/978-3-030-16142-2_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-22815-6_15openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-29551-6_27openalex-snapshot
Multi-view Locality Preserving Embedding with View Consistent Constraint for Dimension Reduction
inferred← citeshttps://doi.org/10.1007/978-3-030-30487-4_13openalex-snapshot
Multi-View Capsule Network
inferred← citeshttps://doi.org/10.1007/978-3-030-36204-1_25openalex-snapshot
Hybrid Matrix Factorization for Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-3-030-43823-4_38openalex-snapshot
Deep Generative Multi-view Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-58621-8_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-60259-8_45openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-72437-5_12openalex-snapshot
A Selective Overview of Recent Advances in Spectral Clustering and Their Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-75762-5_5openalex-snapshot
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data
inferred← citeshttps://doi.org/10.1007/978-3-030-95239-6_11openalex-snapshot
Performance Profiling of Operating Modes via Multi-view Analysis Using Non-negative Matrix Factorisation
inferred← citeshttps://doi.org/10.1007/978-3-030-95239-6_3openalex-snapshot
Multi-view Clustering and Multi-view Models
inferred← citeshttps://doi.org/10.1007/978-3-030-96772-7_48openalex-snapshot
Latent Multi-view Subspace Clustering Based on Schatten-P Norm
inferred← citeshttps://doi.org/10.1007/978-3-031-04245-4_25openalex-snapshot
Multiview Subspace Clustering for Multi-kernel Low-Redundancy Representation Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-33374-3_18openalex-snapshot
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-33743-7_10openalex-snapshot
Entropy in Fuzzy k-Means Algorithm for Multi-view Data
inferred← citeshttps://doi.org/10.1007/978-3-319-01766-2_112openalex-snapshot
Multiple-View Spectral Embedded Clustering Using a Co-training Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-10578-9_19openalex-snapshot
Spectral Clustering with a Convex Regularizer on Millions of Images
inferred← citeshttps://doi.org/10.1007/978-3-319-11740-9_33openalex-snapshot
Heterogeneous Co-transfer Spectral Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-22482-4_15openalex-snapshot
Learning Coupled Embedding Using MultiView Diffusion Maps
inferred← citeshttps://doi.org/10.1007/978-3-319-23528-8_20openalex-snapshot
Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with $$L_{2,1}$$ Regularization
inferred← citeshttps://doi.org/10.1007/978-3-319-23862-3_39openalex-snapshot
Common Latent Space Identification for Heterogeneous Co-transfer Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-24075-6_5openalex-snapshot
Two-Step Greedy Subspace Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-31753-3_17openalex-snapshot
Cross-View Feature Hashing for Image Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-319-48390-0_25openalex-snapshot
Incomplete Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-54181-5_9openalex-snapshot
Saliency Detection via Diversity-Induced Multi-view Matrix Decomposition
inferred← citeshttps://doi.org/10.1007/978-3-319-57529-2_32openalex-snapshot
Multi-View Matrix Completion for Clustering with Side Information
inferred← citeshttps://doi.org/10.1007/978-3-319-60837-2_48openalex-snapshot
Multi-view Clustering Algorithm Based on Variable Weight and MKL
inferred← citeshttps://doi.org/10.1007/978-3-319-60840-2_23openalex-snapshot
A Semi-supervised Three-Way Clustering Framework for Multi-view Data
inferred← citeshttps://doi.org/10.1007/978-3-319-61461-8_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-63558-3_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-68612-7_35openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-71246-8_50openalex-snapshot
Multi-view Spectral Clustering on Conflicting Views
inferred← citeshttps://doi.org/10.1007/978-3-319-91458-9_33openalex-snapshot
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization
inferred← citeshttps://doi.org/10.1007/978-3-642-33454-2_37openalex-snapshot
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering
inferred← citeshttps://doi.org/10.1007/978-3-642-33684-3_1openalex-snapshot
Integrating Social Media Data for Community Detection
inferred← citeshttps://doi.org/10.1007/978-3-642-37331-2_26openalex-snapshot
Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-37444-9_16openalex-snapshot
Co-regularized PLSA for Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/978-3-642-40705-5_8openalex-snapshot
Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data
inferred← citeshttps://doi.org/10.1007/978-3-642-45062-4_17openalex-snapshot
A Graph Based Approach to Multiview Clustering
inferred← citeshttps://doi.org/10.1007/978-81-322-2135-7_67openalex-snapshot
Multiview Clustering in Heterogeneous Environment
inferred← citeshttps://doi.org/10.1007/978-981-13-2122-1_3openalex-snapshot
Multi-view K-Means Clustering with Bregman Divergences
inferred← citeshttps://doi.org/10.1007/978-981-15-6044-6_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-6594-5_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-6966-0_22openalex-snapshot
Multi-view Subspace Clustering via Complementary-Enhanced Anchor Graphs
inferred← citeshttps://doi.org/10.1007/978-981-99-4749-2_34openalex-snapshot
Multi-omics Cancer Subtype Recognition Based on Multi-kernel Partition Aligned Subspace Clustering
inferred← citeshttps://doi.org/10.1007/978-981-99-5245-8_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00138-013-0556-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00211-025-01497-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00371-020-01828-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00453-014-9909-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00500-016-2120-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00500-021-06526-2openalex-snapshot
Adaptively local consistent concept factorization for multi-view clustering
inferred← citeshttps://doi.org/10.1007/s00500-025-10533-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-019-04577-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00530-014-0389-6openalex-snapshot
Large-margin multi-view Gaussian process
inferred← citeshttps://doi.org/10.1007/s00530-022-00985-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00530-023-01225-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00530-025-01794-6openalex-snapshot
Large-scale multi-view subspace clustering with latent centroid anchor guidance
inferred← citeshttps://doi.org/10.1007/s10013-021-00534-3openalex-snapshot
Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions
inferred← citeshttps://doi.org/10.1007/s10044-024-01364-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-012-0577-7openalex-snapshot
Multi-view constrained clustering with an incomplete mapping between views
inferred← citeshttps://doi.org/10.1007/s10115-015-0861-4openalex-snapshot
Co-clustering of multi-view datasets
inferred← citeshttps://doi.org/10.1007/s10115-020-01530-8openalex-snapshot
Improving spectral clustering with deep embedding, cluster estimation and metric learning
inferred← citeshttps://doi.org/10.1007/s10115-024-02197-1openalex-snapshot
Complementary incomplete weighted concept factorization methods for multi-view clustering
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/s10462-025-11183-0openalex-snapshot
Dual representation learning for one-step clustering of multi-view data
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/s10462-025-11313-8openalex-snapshot
Linear projection fused graph-based semi-supervised learning on multi-view data
inferred← citeshttps://doi.org/10.1007/s10489-019-01428-1openalex-snapshot
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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/s10489-021-03129-0openalex-snapshot
Efficient multi-view clustering networks
inferred← citeshttps://doi.org/10.1007/s10489-022-03176-1openalex-snapshot
Multi-view k-proximal plane clustering
inferred← citeshttps://doi.org/10.1007/s10489-022-03205-zopenalex-snapshot
Semi-supervised multi-view binary learning for large-scale image clustering
inferred← citeshttps://doi.org/10.1007/s10489-023-04643-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10548-014-0357-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10618-011-0231-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10618-011-0244-8openalex-snapshot
Regularized nonnegative shared subspace learning
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/s10619-018-7227-3openalex-snapshot
Online multi-view subspace learning via group structure analysis for visual object tracking
inferred← citeshttps://doi.org/10.1007/s10844-014-0307-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10844-018-0502-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-009-5157-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-013-5334-yopenalex-snapshot
The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives
inferred← citeshttps://doi.org/10.1007/s10994-016-5543-2openalex-snapshot
Rényi divergence minimization based co-regularized multiview clustering
inferred← citeshttps://doi.org/10.1007/s10994-016-5624-2openalex-snapshot
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies
inferred← citeshttps://doi.org/10.1007/s11042-013-1655-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-015-3070-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-016-3943-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-017-4926-0openalex-snapshot
Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning
inferred← citeshttps://doi.org/10.1007/s11042-018-6537-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-023-14557-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-012-9251-zopenalex-snapshot
Neighborhood Correlation Analysis for Semi-paired Two-View Data
inferred← citeshttps://doi.org/10.1007/s11063-014-9358-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-018-9904-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-019-10045-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-022-10789-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11063-022-11127-7openalex-snapshot
Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/s11192-015-1682-7openalex-snapshot
Multi-view clustering with exemplars for scientific mapping
inferred← citeshttps://doi.org/10.1007/s11263-018-1086-2openalex-snapshot
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
inferred← citeshttps://doi.org/10.1007/s11263-020-01307-0openalex-snapshot
Tensorized Multi-view Subspace Representation Learning
inferred← citeshttps://doi.org/10.1007/s11431-021-1957-3openalex-snapshot
Semi-supervised multi-view clustering with dual hypergraph regularized partially shared non-negative matrix factorization
inferred← citeshttps://doi.org/10.1007/s11634-025-00628-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12038-015-9559-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13042-021-01370-0openalex-snapshot
Diversity-promoting multi-view graph learning for semi-supervised classification
inferred← citeshttps://doi.org/10.1007/s13042-023-01787-9openalex-snapshot
Multi-view clustering based on view-attention driven
inferred← citeshttps://doi.org/10.1007/s13042-024-02270-9openalex-snapshot
Class-structure preserving multi-view correlated discriminant analysis for multiblock data
inferred← citeshttps://doi.org/10.1007/s13278-019-0574-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13721-016-0135-4openalex-snapshot
Big data analytics in bioinformatics: architectures, techniques, tools and issues
inferred← citeshttps://doi.org/10.1007/s13721-017-0149-6openalex-snapshot
Block spectral clustering for multiple graphs with inter-relation
inferred← citeshttps://doi.org/10.1007/s13748-018-00167-7openalex-snapshot
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
inferred← citeshttps://doi.org/10.1007/s41019-021-00159-zopenalex-snapshot
Deep Multiple Auto-Encoder-Based Multi-view Clustering
inferred← citeshttps://doi.org/10.1007/s41095-022-0268-6openalex-snapshot
Specificity-preserving RGB-D Saliency Detection
inferred← citeshttps://doi.org/10.1016/j.acha.2016.08.005openalex-snapshot
Iterated diffusion maps for feature identification
inferred← citeshttps://doi.org/10.1016/j.acha.2019.01.001openalex-snapshot
Multi-view kernel consensus for data analysis
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.06.010openalex-snapshot
Multi-view clustering via simultaneous weighting on views and features
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.08.010openalex-snapshot
Deep multi-view representation learning for social images
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105819openalex-snapshot
A cross-media heterogeneous transfer learning for preventing over-adaption
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110272openalex-snapshot
Clustering of multi-layer networks with structural relations and conservation of features
inferred← citeshttps://doi.org/10.1016/j.cogsys.2019.04.006openalex-snapshot
Fractional generalized multiview discriminative projections and extension for multiview learning
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2022.107939openalex-snapshot
Multi-view Subspace Clustering with View Correlations via low-rank tensor learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.05.076openalex-snapshot
Multi-view collaborative locally adaptive clustering with Minkowski metric
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119484openalex-snapshot
A multi-view ensemble clustering approach using joint affinity matrix
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119949openalex-snapshot
Dual-graph regularized concept factorization for multi-view clustering
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.image.2017.10.005openalex-snapshot
Multi-graph embedding discriminative correlation feature learning for image recognition
inferred← citeshttps://doi.org/10.1016/j.imavis.2015.06.006openalex-snapshot
Semi-supervised sparse feature selection based on multi-view Laplacian regularization
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105722openalex-snapshot
Flexible disentangled representation learning with soft-splitting for multi-view data
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.02.007openalex-snapshot
Multi-view learning overview: Recent progress and new challenges
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.05.002openalex-snapshot
Multimodal sparse and low-rank subspace clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.12.002openalex-snapshot
Multi-View Kernel Spectral Clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2018.11.019openalex-snapshot
Feature selection with multi-view data: A survey
inferred← citeshttps://doi.org/10.1016/j.inffus.2019.06.017openalex-snapshot
Subspace segmentation-based robust multiple kernel clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2019.08.005openalex-snapshot
Multi-view diffusion maps
inferred← citeshttps://doi.org/10.1016/j.inffus.2019.09.005openalex-snapshot
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding
inferred← citeshttps://doi.org/10.1016/j.inffus.2019.10.006openalex-snapshot
Synergetic information bottleneck for joint multi-view and ensemble clustering
inferred← citeshttps://doi.org/10.1016/j.inffus.2020.10.013openalex-snapshot
Relaxed multi-view clustering in latent embedding space
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101884openalex-snapshot
A multi-view clustering algorithm based on deep semi-NMF
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102400openalex-snapshot
Discovering common information in multi-view data
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102661openalex-snapshot
Divergence-guided disentanglement of view-common and view-unique representations for multi-view data
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102934openalex-snapshot
Towards a robust multi-view information bottleneck using Cauchy–Schwarz divergence
inferred← citeshttps://doi.org/10.1016/j.ins.2018.03.009openalex-snapshot
An active three-way clustering method via low-rank matrices for multi-view data
inferred← citeshttps://doi.org/10.1016/j.ins.2020.06.032openalex-snapshot
Similarity and diversity induced paired projection for cross-modal retrieval
inferred← citeshttps://doi.org/10.1016/j.ins.2020.11.037openalex-snapshot
Multiview clustering via exclusive non-negative subspace learning and constraint propagation
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.2021.02.027openalex-snapshot
Deep multi-view document clustering with enhanced semantic embedding
inferred← citeshttps://doi.org/10.1016/j.ins.2021.03.059openalex-snapshot
Fine-grained similarity fusion for Multi-view Spectral Clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2022.12.072openalex-snapshot
Multi-view multi-label learning with high-order label correlation
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122515openalex-snapshot
Cross-view alignment and completion for incomplete information multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.ipm.2015.11.003openalex-snapshot
Bi-level weighted multi-view clustering via hybrid particle swarm optimization
inferred← citeshttps://doi.org/10.1016/j.ipm.2015.12.007openalex-snapshot
Multi-view clustering via spectral partitioning and local refinement
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.jbi.2019.103322openalex-snapshot
Automated grouping of medical codes via multiview banded spectral clustering
inferred← citeshttps://doi.org/10.1016/j.jvcir.2016.09.004openalex-snapshot
Multi-patch embedding canonical correlation analysis for multi-view feature learning
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.02.011openalex-snapshot
Internet cross-media retrieval based on deep learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2011.04.003openalex-snapshot
ApproxCCA: An approximate correlation analysis algorithm for multidimensional data streams
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.05.017openalex-snapshot
Self-weighted multi-view clustering with soft capped norm
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.05.023openalex-snapshot
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.06.006openalex-snapshot
Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.105172openalex-snapshot
Multi-view Locality Low-rank Embedding for Dimension Reduction
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.105459openalex-snapshot
Multi-view clustering via clusterwise weights learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105835openalex-snapshot
The similarity-consensus regularized multi-view learning for dimension reduction
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106280openalex-snapshot
Simultaneously learning feature-wise weights and local structures for multi-view subspace clustering
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.2023.110816openalex-snapshot
A multi-view subspace representation learning approach powered by subspace transformation relationship
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110954openalex-snapshot
Multi-view clustering via optimal transport algorithm
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111037openalex-snapshot
A Bottleneck Network with Light Attention for Multimodal Clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113960openalex-snapshot
Scalable Multiview Clustering through Consistency Fusion of Shared Bipartite Graphs
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116477openalex-snapshot
Multi-view spectral clustering via high-frequency truncation and graph wavelet modulation
inferred← citeshttps://doi.org/10.1016/j.media.2023.102764openalex-snapshot
Distilling sub-space structure across views for cardiac indices estimation
inferred← citeshttps://doi.org/10.1016/j.neucom.2011.02.004openalex-snapshot
Multitask Bregman clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2011.08.032openalex-snapshot
Clustering in applications with multiple data sources—A mutual subspace clustering approach
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.08.063openalex-snapshot
Uncertain canonical correlation analysis for multi-view feature extraction from uncertain data streams
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.08.106openalex-snapshot
Multi-view multi-sparsity kernel reconstruction for multi-class image classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.01.017openalex-snapshot
Multi-view clustering via pairwise sparse subspace representation
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.06.043openalex-snapshot
Unsupervised discriminant canonical correlation analysis based on spectral clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.07.043openalex-snapshot
Local voting based multi-view embedding
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.09.133openalex-snapshot
Multi-view non-negative matrix factorization by patch alignment framework with view consistency
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.06.035openalex-snapshot
Multi-view clustering with extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.07.044openalex-snapshot
Multi-view Sparsity Preserving Projection for dimension reduction
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.08.014openalex-snapshot
A novel multi-view clustering method via low-rank and matrix-induced regularization
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.08.148openalex-snapshot
Common latent space identification for heterogeneous co-transfer clustering
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