A Unified Multi-view Clustering Algorithm Using Multi-objective Optimization Coupled with Generative Model
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Title
A Unified Multi-view Clustering Algorithm Using Multi-objective Optimization Coupled with Generative Model
Authors
Keywords
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Journal
ACM Transactions on Knowledge Discovery from Data
Volume 14, Issue 1, Pages 1-31
Publisher
Association for Computing Machinery (ACM)
Online
2020-02-03
DOI
10.1145/3365673
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- (2011) Selim Mimaroglu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
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