Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference

Existing pre-processing methods for the prior membership degree matrix suffer from the following issues: (1) The labeling constraints for prior membership degree matrix have an effect on the expert’s judgment on the prior membership degree, which easily causes the distortion problem of the prior mem...

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Veröffentlicht in:	Expert systems with applications Jg. 238; S. 121812
Hauptverfasser:	Xu, Shengbing, Hao, Zhifeng, Zhu, Yuanhao, Wang, Zhenyou, Xiao, Yunhao, Liu, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2024
Schlagworte:	Constraints Fuzzy clustering Missing value Prior membership degree Semi-supervised clustering Fuzzy clustering Constraints Missing value Semi-supervised clustering Prior membership degree
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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