Multi-view cluster analysis with incomplete data to understand treatment effects

Multi-view cluster analysis, as a popular granular computing method, aims to partition sample subjects into consistent clusters across different views in which the subjects are characterized. Frequently, data entries can be missing from some of the views. The latest multi-view co-clustering methods...

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Veröffentlicht in:	Information sciences 2019-08, Vol.494, p.278-293
Hauptverfasser:	Chao, Guoqing, Sun, Jiangwen, Lu, Jin, Wang, An-Li, Langleben, Daniel D., Li, Chiang-Shan, Bi, Jinbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Co-clustering Granular computing Missing value Multi-view data analysis Opioid addiction
Online-Zugang:	Volltext
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