A Unified Multi-view Clustering Algorithm Using Multi-objective Optimization Coupled with Generative Model

ACM Transactions on Knowledge Discovery from Data (TKDD), pp. 1-31, 2020.

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Abstract:

There is a large body of works on multi-view clustering that exploit multiple representations (or views) of the same input data for better convergence. These multiple views can come from multiple modalities (image, audio, text) or different feature subsets. Obtaining one consensus partitioning after considering different views is usually ...More

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