obananas / incomplete-multi-view-clustering Goto Github PK

• Content
  • Multi-view Clustering
    • Survey
    • Multi-view Subspace Clustering
  • Incomplete Multi-view Clustering
  • Deep Clustering

1. 2013：A survey on multi-view learning
2. 2013：A survey of multi-view machine learning
3. 2018：Multi-view clustering: A survey

1. Diversity-induced multi-view subspace clustering.
2. Consistent and specific multi-view subspace clustering.
3. Exclusivity-consistency regularized multi-view subspace clustering.
4. Low-rank tensor constrained multiview sub-space clustering.
5. Letent multi-view subspace clustering.
6. Multi-view subspace clustering
7. Convex multi-view subspace learning
8. Multi-view subspace constraints on homographies
9. Multi-view low-rank sparse subspace clustering
10. Generalized latent multi-view subspace clustering
11. Robust multi-view subspace learning through dual low-rank decompositions
12. Convex subspace representation learning from multi-view data
13. Robust subspace clustering for multi-view data by exploiting correlation consensus
14. Low-rank common subspace for multi-view learning
15. Robust auto-weighted multi-view subspace clustering with common subspace representation matrix
16. Robust low-rank kernel multi-view subspace clustering based on the Schatten p-norm and correntropy
17. Predictive subspace learning for multi-view data: a large margin approach
18. A subspace co-training framework for multi-view clustering
19. Multi-view subspace clustering with intactness-aware similarity
20. Multi-view subspace clustering via relaxed l1-norm of tensor multi-rank
21. Multi-view clustering via pairwise sparse subspace representation
22. Manifold regularized multi-view subspace clustering for image representation
23. Partial multi-view clustering
24. Robust localized multi-view subspace clustering
25. Multi-view subspace clustering for face images
26. Feature concatenation multi-view subspace clustering 2020
27. Split multiplicative multi-view subspace clustering
28. Adaptive multi-view subspace clustering for high-dimensional data 2020
29. Multi-view subspace clustering via a global low-rank affinity matrix

1. Multi-view learning with incomplete views
2. Unified subspace learning for incomplete and unlabeled multi-view data
3. Incomplete multi-view clustering via subspace learning

多视图 graph-based 缺失：

1. Adaptive Sample-Level Graph Combination for Partial Multiview Clustering

2. Anchors bring ease-An embarrassingly simple approach to partial multi-view clustering

3. Diagnosis of Alzheimer's disease using view-aligned hypergraph learning with incomplete multi-modality data

4. Incomplete multi-view clustering via graph regularized matrix factorization(2018ECCV) 文杰主页 [paper] [code]

5. Incomplete Multi-view Clustering via Subspace Learning(2015CIKM) [paper] [note]

6. Incomplete multi-view clustering(2016 Intelligent Information Processing VIII)

7. Incomplete multiview spectral clustering with adaptive graph learning(2020 Cybernetics) (文杰) [Note] [paper] [code]

8. Partial multi-view spectral clustering(2018Neurocomputing) [paper]

9. Partial multi-view subspace clustering(2018MM Multimedia) [paper]

10. Spectral perturbation meets incomplete multi-view data(2019IJCAI) [paper]

11. Unified embedding alignment with missing views inferring for incomplete multi-view clustering(2019AAAI) (文杰) [paper] [code]

12. Unified subspace learning for incomplete and unlabeled multi-view data(2017 Pattern Recognition) [paper]

多视图 深度方法 缺失：

1. Adversarial incomplete multi-view clustering
2. CPM-Nets-Cross Partial Multi-View Networks
3. Incomplete multi-view clustering via deep semantic mapping
4. li2019
5. Metric learning on healthcare data with incomplete modalities
6. Partial multi-view clustering via consistent GAN
7. DIMC-net: Deep Incomplete Multi-view Clustering Network
8. COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction
9. iCmSC: Incomplete Cross-Modal Subspace Clustering [paper] [code]
10. Adversarial Incomplete Multi-view Clustering
11. Partial Multi-view Clustering via Consistent GAN [paper] [code]

多视图 核方法缺失：

1. Clustering on multiple incomplete datasets via collective kernel learning
2. Efficient and Effective Regularized Incomplete Multi-view Clustering
3. Kernel transfer over multiple views for missing data completion
4. Late Fusion Incomplete Multi-View Clustering
5. Localized Incomplete Multiple Kernel k-means
6. Multiple kernel k-means with incomplete kernels
7. Multiview clustering with incomplete views
8. Multi-view kernel completion

多视图 高阶张量分解 缺失：

1. Clustering on multi-source incomplete data via tensor modeling and factorization

多视图 NMF分解 缺失：

1. Doubly Aligned Incomplete Multi-view Clustering

2. Fundamental sampling patterns for low-rank multi-view data completion

3. Incomplete multi-modal visual data grouping

4. Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning

5. Joint Embedding Learning and Low-Rank Approximation-A Framework for Incomplete Multiview Learning

6. Low-rank multi-view learning in matrix completion for multi-label image classification

7. Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

8. Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L_{2,1} Regularization (2015 ECML/PKDD) [paper]

9. Multi-view cluster analysis with incomplete data to understand treatment effects

10. Multi-view clustering with constraint propagation for learning with an incomplete mapping between views

11. Multi-View Learning With Incomplete Views

12. Multi-view missing data completion

13. One-Pass Incomplete Multi-View Clustering [paper]

14. Online multi-view clustering with incomplete views

15. Partial multi-view clustering using graph regularized NMF

16. Partial multi-view clustering

17. Partial multi-view outlier detection based on collective learning

18. Partially tagged image clustering

19. Simultaneous representation learning and clustering for incomplete multi-view data

20. Unsupervised maximum margin incomplete multi-view clustering

多视图弱标签缺失：

1. Incomplete multi-view weak-label learning
2. Multi-view weak-label learning based on matrix completion

高斯过程多视图缺失：

1. Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering
2. The EM algorithm for kernel matrix completion with auxiliary data

1. Deep subspace clustering networks.[paper][Note]

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