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cs.LG2021
Supporting Clustering with Contrastive Learning
Dejiao Zhang, Feng Nan, Xiaokai Wei +6
Unsupervised clustering aims at discovering the semantic categories of data according to some distance measured in the representation space. However, different categories often ove…
cs.LG2017
Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment
Xiaokai Wei, Bokai Cao, Philip S. Yu
Multi-view high-dimensional data become increasingly popular in the big data era. Feature selection is a useful technique for alleviating the curse of dimensionality in multi-view…