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100leaves

One-hundred plant species leaves data set1 (100leaves): It consists of 1,600 samples from each of one hundred plant species. For each sample, shape descriptor, fine scale margin and texture histogram are given.

dataset size #view #cluster #d1 #d2 #d3
100leaves 1600 3 100 64 64 64

Papers

  1. Wang H, Yang Y, Liu B. GMC: Graph-based multi-view clustering[J]. IEEE Transactions on Knowledge and Data Engineering, 2019, 32(6): 1116-1129.

3Sources

3Sources Text dataset: It is collected from three online news sources: BBC, Reuters, and The Guardian. In total there are 948 news articles covering 416 distinct news stories from the period February to April 2009. Of these stories, 169 were reported in all three sources. Each story was manually annotated with one of the six topical labels: business, entertainment, health, politics, sport and technology.

dataset size #view #cluster #d1 #d2 #d3
3-Sources 169 3 6 3,560 3,631 3,068

Papers (MVC)

  1. Gao J, Han J, Liu J, et al. Multi-View Clustering via Joint Nonnegative Matrix Factorization[C]. Proceedings of the 2013 SIAM International Conference on Data Mining, 2013: 252-260.
  2. Wang H, Yang Y, Liu B. GMC: Graph-based multi-view clustering[J]. IEEE Transactions on Knowledge and Data Engineering, 2019, 32(6): 1116-1129.

Papers (IMVC)

  1. Yin J, Sun S. Incomplete multi-view clustering with cosine similarity[J]. Pattern Recognition, 2022, 123: 108371.
  2. Lv, Z., Gao, Q., Zhang, X., Li, Q., & Yang, M. (2022). View-Consistency Learning for Incomplete Multiview Clustering. IEEE Transactions on Image Processing, 31, 4790-4802.

BBC

It consists of 685 documents from BBCnews website which corresponds to stories about five topi-cal areas. Each sample is described by four views.

dataset size #view #cluster #d1 #d2 #d3 #d3
BBC 685 4 5

Papers (MVC)

Papers (IMVC)

  1. Xue Z, Du J, Zheng C, et al. Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data[C]//IJCAI, 2021: 3235-3241.
  2. Lv, Z., Gao, Q., Zhang, X., Li, Q., & Yang, M. (2022). View-Consistency Learning for Incomplete Multiview Clustering. IEEE Transactions on Image Processing, 31, 4790-4802.

Caltech101-20

One-hundred plant species leaves data set1 (100leaves): It consists of 1,600 samples from each of one hundred plant species. For each sample, shape descriptor, fine scale margin and texture histogram are given.

dataset size #view #cluster #d1 #d2 #d3 #d4 #d5 #d6
Caltech101-20 2386 6 20 Gabor(48) WM(40) Centrist (254) HOG(1984) GIST(512) LBP(928)

Papers

  1. Lin Y, Gou Y, Liu Z, et al. COMPLETER: Incomplete multi-view clustering via contrastive prediction[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 11174-11183.

Papers (IMVC)

  1. Xue Z, Du J, Zheng C, et al. Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data[C]//IJCAI, 2021: 3235-3241.

[CiteSeer]

Papers

  1. Hussain S F, Khan K, Jillani R. Weighted multi-view co-clustering (WMVCC) for sparse data[J]. Applied Intelligence, 2022, 52(1): 398-416.

[Cora]

Papers

  1. Hussain S F, Khan K, Jillani R. Weighted multi-view co-clustering (WMVCC) for sparse data[J]. Applied Intelligence, 2022, 52(1): 398-416.

[Cornell]

Papers

  1. Hussain S F, Khan K, Jillani R. Weighted multi-view co-clustering (WMVCC) for sparse data[J]. Applied Intelligence, 2022, 52(1): 398-416.

[LandUse-21]

Papers

  1. Lin Y, Gou Y, Liu Z, et al. COMPLETER: Incomplete multi-view clustering via contrastive prediction[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 11174-11183.

[Noisy MNIST]

Papers

  1. Lin Y, Gou Y, Liu Z, et al. COMPLETER: Incomplete multi-view clustering via contrastive prediction[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 11174-11183.

[Scene-15]

Papers

  1. Lin Y, Gou Y, Liu Z, et al. COMPLETER: Incomplete multi-view clustering via contrastive prediction[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 11174-11183.

[Washington]

Papers

  1. Hussain S F, Khan K, Jillani R. Weighted multi-view co-clustering (WMVCC) for sparse data[J]. Applied Intelligence, 2022, 52(1): 398-416.

[Wisconsin]

Papers

  1. Lin Y, Gou Y, Liu Z, et al. COMPLETER: Incomplete multi-view clustering via contrastive prediction[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 11174-11183.