Marginalized Multiview Ensemble Clustering.
IEEE Transactions on Neural Networks and Learning Systems(2020)
摘要
Multiview clustering (MVC), which aims to explore the underlying cluster structure shared by multiview data, has drawn more research efforts in recent years. To exploit the complementary information among multiple views, existing methods mainly learn a common latent subspace or develop a certain loss across different views, while ignoring the higher level information such as basic partitions (BPs)...
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关键词
Noise reduction,Nonhomogeneous media,Task analysis,Optimization,Sparse matrices,Clustering algorithms,Transforms
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