A splitting method for the locality regularized semi-supervised subspace clustering
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DOI: 10.1080/02331934.2019.1671841
Abstract: Graph-based semi-supervised learning (G-SSL) methods play an increasingly important role in machine learning systems. Recently, latent low-rank representation (LatLRR) graph has gained great success in subspace clustering. However, LatLRR only considers the global structure, while… read more here.
Keywords: supervised subspace; locality regularized; subspace clustering; semi supervised ... See more keywords