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Subspace-Contrastive Multi-View Clustering

https://doi.org/10.1145/3674839
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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/s10489-021-02978-zopenalex-snapshot
Incomplete multi-view clustering with multiple imputation and ensemble clustering
inferredcites →https://doi.org/10.1007/s10489-022-03816-6openalex-snapshot
Frobenius norm-regularized robust graph learning for multi-view subspace clustering
inferredcites →https://doi.org/10.1007/s41019-021-00159-zopenalex-snapshot
Deep Multiple Auto-Encoder-Based Multi-view Clustering
inferredcites →https://doi.org/10.1016/j.inffus.2017.02.007openalex-snapshot
Multi-view learning overview: Recent progress and new challenges
inferredcites →https://doi.org/10.1016/j.inffus.2019.09.005openalex-snapshot
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding
inferredcites →https://doi.org/10.1016/j.inffus.2022.10.020openalex-snapshot
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering
inferredcites →https://doi.org/10.1016/j.inffus.2023.102086openalex-snapshot
Incomplete multiview subspace clustering based on multiple kernel low-redundant representation learning
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.038openalex-snapshot
A survey of deep neural network architectures and their applications
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.104openalex-snapshot
An overview of recent multi-view clustering
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/icme.2002openalex-snapshot
Proceedings. IEEE International Conference on Multimedia and Expo
inferredcites →https://doi.org/10.1109/tai.2021.3065894openalex-snapshot
A Survey on Multiview Clustering
inferredcites →https://doi.org/10.1109/tcsvt.2023.3266801openalex-snapshot
Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tcyb.2024.3372309openalex-snapshot
Multiview Deep Subspace Clustering Networks
inferredcites →https://doi.org/10.1109/tip.2018.2877335openalex-snapshot
Multiview Consensus Graph Clustering
inferredcites →https://doi.org/10.1109/tip.2019.2913096openalex-snapshot
Split Multiplicative Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tip.2020.3045631openalex-snapshot
Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization
inferredcites →https://doi.org/10.1109/tip.2022.3147046openalex-snapshot
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tip.2023.3246802openalex-snapshot
Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tkde.2022.3172687openalex-snapshot
Unified One-Step Multi-View Spectral Clustering
inferredcites →https://doi.org/10.1109/tkde.2023.3293498openalex-snapshot
Elastic Multi-view Subspace Clustering with Pairwise and High-order Correlations
inferredcites →https://doi.org/10.1109/tmm.2020.3025666openalex-snapshot
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning
inferredcites →https://doi.org/10.1109/tmm.2021.3081930openalex-snapshot
Consensus Graph Learning for Multi-View Clustering
inferredcites →https://doi.org/10.1109/tmm.2022.3157997openalex-snapshot
Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss
inferredcites →https://doi.org/10.1109/tmm.2022.3185886openalex-snapshot
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering
inferredcites →https://doi.org/10.1109/tnnls.2021.3069424openalex-snapshot
Multiview Subspace Clustering via Co-Training Robust Data Representation
inferredcites →https://doi.org/10.1109/tnnls.2022.3165542openalex-snapshot
Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization
inferredcites →https://doi.org/10.1109/tnnls.2022.3215983openalex-snapshot
Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation
inferredcites →https://doi.org/10.1109/tnnls.2023.3265699openalex-snapshot
Deep Multiview Adaptive Clustering With Semantic Invariance
inferredcites →https://doi.org/10.1109/tnnls.2023.3271871openalex-snapshot
Simple Contrastive Graph Clustering
inferredcites →https://doi.org/10.1109/tpami.2007.250598openalex-snapshot
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
inferredcites →https://doi.org/10.1109/tpami.2013.57openalex-snapshot
Sparse Subspace Clustering: Algorithm, Theory, and Applications
inferredcites →https://doi.org/10.1109/tpami.2022.3155499openalex-snapshot
Robust Multi-View Clustering With Incomplete Information
inferredcites →https://doi.org/10.1109/tpami.2022.3187976openalex-snapshot
Tensorized Bipartite Graph Learning for Multi-View Clustering
inferredcites →https://doi.org/10.1109/tpami.2022.3224978openalex-snapshot
A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension
inferredcites →https://doi.org/10.1145/3182384openalex-snapshot
Consensus Guided Multi-View Clustering
inferredcites →https://doi.org/10.1145/3396238openalex-snapshot
Self-weighted Multi-view Fuzzy Clustering
inferredcites →https://doi.org/10.1145/3532191openalex-snapshot
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection
inferredcites →https://doi.org/10.1145/3608954openalex-snapshot
Multi-View Graph Convolutional Networks with Differentiable Node Selection
inferredcites →https://doi.org/10.24963/ijcai.2023/435openalex-snapshot
Incomplete Multi-view Clustering via Prototype-based Imputation
inferredcites →https://doi.org/10.5555/1756006.1953039openalex-snapshot
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129359openalex-snapshot
Deep clustering of tabular data by weighted Gaussian distribution learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129469openalex-snapshot
Aggregated center-based clustering algorithm based on principal component radius
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.2025.132109openalex-snapshot
Deep multi-view clustering based on sample-level adaptive fusion and clustering structure aggregation
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134525openalex-snapshot
Residual Embedding for Sparse Subspace Clustering
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108581openalex-snapshot
Deep multi-view clustering based on instance-level adaptive structural contrastive learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109114openalex-snapshot
DGVAC: Disentangled Gaussian-vMF alignment for deep clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114144openalex-snapshot
Tensorized Anchor Graphs with Multi-Scale Learning for One-Step Multi-View Clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114233openalex-snapshot
Prototype-tailored cross-view alignment for partially-aligned incomplete multi-view clustering
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114350openalex-snapshot
Efficient one-pass incomplete multi-view clustering via anchor alignment and high-order correlation exploitation
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3649227openalex-snapshot
Structure-Aware Consensus Representation Learning With Dual-Channel Attention for Multi-Omics Cancer Subtype Clustering
inferred← citeshttps://doi.org/10.1109/lsp.2025.3569476openalex-snapshot
Multi-Level Structural Contrastive Subspace Clustering Network
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3679096openalex-snapshot
Dynamic Weight-Enhanced Contrastive Learning for Partially View-Aligned Clustering
inferred← citeshttps://doi.org/10.1109/tcyb.2024.3475034openalex-snapshot
GRESS: Grouping Belief-Based Deep Contrastive Subspace Clustering
inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3650110openalex-snapshot
Parameter-Free Dual-Granularity Weighted Multiview Fuzzy $c$-Means Clustering
inferred← citeshttps://doi.org/10.1109/tnse.2025.3578315openalex-snapshot
Semi-Supervised Adaptive Symmetric Nonnegative Matrix Factorization for Multi-View Clustering
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