Consensus One-step Multi-view Subspace Clustering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3045770
Abstract: Multi-view clustering has attracted increasing attention in multimedia, machine learning and data mining communities. As one kind of the essential multi-view clustering algorithm, multi-view subspace clustering (MVSC) becomes more and more popular due to its… read more here.
Keywords: view; consensus; subspace clustering; view subspace ... See more keywords
Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3112230
Abstract: This paper addresses the multi-view subspace clustering problem and proposes the self-paced enhanced low-rank tensor kernelized multi-view subspace clustering (SETKMC) method, which is based on two motivations: (1) singular values of the representations and multiple… read more here.
Keywords: view; view subspace; multi view; subspace clustering ... See more keywords
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering
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DOI: 10.1109/tsipn.2022.3169633
Abstract: Multi-view subspace clustering methods used consensus and supplementary principles to learn the shared self-representation matrix or tensor have been applied to multiple fields. The existing advanced multi-view subspace clustering methods are mainly based on the… read more here.
Keywords: view subspace; low rank; multi view; subspace clustering ... See more keywords
Partially latent factors based multi‐view subspace learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12540
Abstract: Multi‐view subspace clustering always performs well in high‐dimensional data analysis, but is sensitive to the quality of data representation. To this end, a two‐stage fusion strategy is proposed to embed representation learning into the process… read more here.
Keywords: view subspace; multi view; subspace clustering; latent representations ... See more keywords