2022
DOI: 10.1007/s00521-022-06927-w
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Multi-view clustering with dual tensors

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Cited by 7 publications
(1 citation statement)
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“…To analyze those kinds of multiview data, clustering is a widely used technique to unveil meaningful patterns of samples or nodes by dividing them into disjoint groups [5,6]. To address above heterogeneous challenge, many researchers have been dedicating efforts in developing methods that are able to effectively discover a common cluster pattern shared by various views [7,8]. A straightforward way is to concatenate all multiple views features and apply conventional single-view clustering methods upon it.…”
Section: Introductionmentioning
confidence: 99%
“…To analyze those kinds of multiview data, clustering is a widely used technique to unveil meaningful patterns of samples or nodes by dividing them into disjoint groups [5,6]. To address above heterogeneous challenge, many researchers have been dedicating efforts in developing methods that are able to effectively discover a common cluster pattern shared by various views [7,8]. A straightforward way is to concatenate all multiple views features and apply conventional single-view clustering methods upon it.…”
Section: Introductionmentioning
confidence: 99%