Adaptive K-Multiple-Means for Multi-view Clustering

[Paper]

Y. Hu, Z. Song, B. Wang, J. Gao, Y. Sun and B. Yin, "AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 11, pp. 4214-4226, Nov. 2021, doi: 10.1109/TCSVT.2020.3049005},

Requirements

matlab

Contact

[email protected]

Citation

If our work is helpful for your research, please consider citing the following BibTeX entry in your manuscript:

@ARTICLE{9312643,
  author={Hu, Yongli and Song, Zuolong and Wang, Boyue and Gao, Junbin and Sun, Yanfeng and Yin, Baocai},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering}, 
  year={2021},
  volume={31},
  number={11},
  pages={4214-4226},
  keywords={Clustering methods;Bipartite graph;Kernel;Matrix decomposition;Tensors;Fuses;Adaptation models;Multi-view clustering;K-means;multiple means;Bipartite graph;Laplacian rank constraint},
  doi={10.1109/TCSVT.2020.3049005}}

}