Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation
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DOI: 10.1109/tkde.2020.2986201
Abstract: Recently, many real-world applications exploit multi-view data, which is collected from diverse domains or obtained from various feature extractors and reflect different properties or distributions of the data. In this work, a novel unsupervised multi-view… read more here.
Keywords: clustering adaptive; memberships weight; view; sparse memberships ... See more keywords