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Deep Embedded Multi-view Clustering with Collaborative Training
[article]
2020
arXiv
pre-print
Multi-view clustering has attracted increasing attentions recently by utilizing information from multiple views. However, existing multi-view clustering methods are either with high computation and space complexities, or lack of representation capability. To address these issues, we propose deep embedded multi-view clustering with collaborative training (DEMVC) in this paper. Firstly, the embedded representations of multiple views are learned individually by deep autoencoders. Then, both
arXiv:2007.13067v1
fatcat:l74d2tzhvnadto4ostjrc5ddvi