Consensus and complementary regularized non-negative matrix factorization for multi-view image clustering

Multi-view clustering (MVC) aims to classify objects using multi-view data. Many existing MVC methods explore the consensus agreement among views or enhance the complementary features from multiple views in order to improve the clustering quality. However, multi-view data, especially multi-view image data, contains much more complex and meaningful information, which not only describes intrinsic common properties of one object, but also implies …