collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

MATLAB code for 7 Multi-view Spectral Clustering algorithms

PyTorch implementation for Dual Contrastive Prediction for Incomplete Multi-view Representation Learning (TPAMI'22)

Matlab implementation of multi-view low-rank sparse subspace clustering

Awesome Deep Multi-View Clustering is a collection of SOTA, novel deep multi-view clustering methods (papers and codes).

PyTorch implementation for Robust Multi-view Clustering with Incomplete Information (TPAMI 2022).

The official repos for ‘’GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering‘’, (CVPR 2023).

[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

[AAAI 2024] ICMVC: Incomplete Contrastive Multi-View Clustering with High-confidence Guiding

Codes for Multi-view Clustering

Awesome Continual Multi-view Clustering is a collection of SOTA, novel continual multi-view clustering methods (papers, codes).

A Study of Graph-based System for Multi-view Clustering

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

Code for the paper "Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency"

The official repos of "CONAN: Contrastive Fusion Networks for Multi-view Clustering".

Spectral Perturbation Meets Incomplete Multi-view Data, In IJCAI-2019

The code of AAAI 2023 ''Auto-Weighted Multi-View Clustering for Large-Scale Data''

Matlab code for the TNNLS 2023 paper "Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning".

[ACM MM 2024] Pytorch Code for the paper "Robust Variational Contrastive Learning for Partially View-unaligned Clustering"

TNNLS "Variational Graph Generator for Multi-View Graph Clustering".

An evolutionary many-objective approach to multiview clustering using feature and relational data

[ACM MM 2023] Scalable Incomplete Multi-View Clustering with Structure Alignment (SIMVC-SA)

TNNLS25 Code of "Deep Multi-view Clustering by Pseudo-label Guided Contrastive Learning and Dual Correlation Learning"

Matlab code for the IEEE TETCI 2023 paper "Joint Multi-view Unsupervised Feature Selection and Graph Learning".

NECO 18: Adaptive structure concept factorization for multiview clustering

The source code for "Balanced Multi-Relational Graph Clustering" (BMGC) (Accepted by ACM International Conference on Multimedia)

This is the implementation of DCMVC: Dual Contrastive Multi-view Clustering, published in Neurocomputing 2025.

code of Multi-view unsupervised feature selection with tensor low-rank minimization with personal explanatory note

The code for "Generalized Incomplete Multi-view Clustering With Flexible Locality Structure Diffusion"

Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. IEEE Transactions on Big Data, 2024.