Feature Space Recovery for Efficient Incomplete Multi-View Clustering
Zhen Long,
Ce Zhu,
Pierre Comon
et al.
Abstract:T-SVD based incomplete multi-view clustering (IMVC) has received wide attention due to its ability to capture high-order correlations. However, t-SVD suffers from rotation sensitivity, failing to fully explore both inter-and intra-view consistencies. Besides, current methods mainly consider inter-or intra-view correlations, ignoring the low-rank information of sample features within views. To address these weaknesses, we first propose a feature space recovery based IMVC (FSR-IMVC) method, where low-rank featur… Show more
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