Multi-view low-rank sparse subspace clustering
作者： Maria Brbić , Ivica Kopriva
DOI: 10.1016/J.PATCOG.2017.08.024
关键词: Cluster analysis 、 Linear subspace 、 Pattern recognition 、 Rank (linear algebra) 、 Constrained clustering 、 Correlation clustering 、 Mathematics 、 Algorithm 、 Representation (mathematics) 、 Artificial intelligence 、 Subspace topology 、 Reproducing kernel Hilbert space
摘要: … clustering algorithm to handle multi-view data. This paper presents an approach to multi-view subspace clustering that learns a joint subspace … importance of both low-rank and sparsity …
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