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Found 3 papers, 3 papers with code
Multiple Partitions Aligned Clustering
Most existing multi-view clustering methods explore the heterogeneous information in the space where the data points lie.
Latent Multi-view Semi-Supervised Classification
To explore underlying complementary information from multiple views, in this paper, we propose a novel Latent Multi-view Semi-Supervised Classification (LMSSC) method.
Similarity Learning via Kernel Preserving Embedding
Data similarity is a key concept in many data-driven applications.
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