A mixed data clustering algorithm with noise-filtered distribution centroid and iterative weight adjustment strategy

•A novel mixed data clustering optimization approach is applied for cluster analysis.•Clustering performance is optimized by noise filtering distribution centroid and similarity measurement.•An Iterative weight adjustment is applied to quantify the influence of various attributes on clustering.•The...

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Vydáno v:	Information sciences Ročník 577; s. 697 - 721
Hlavní autoři:	Li, Xiangjun, Wu, Zijie, Zhao, Zhibin, Ding, Feng, He, Daojing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.10.2021
Témata:	Inter-cluster heterogeneity Intra-cluster homogeneity Iterative weight adjustment strategy Mixed data clustering Noise-filtered distribution centroid Noise-filtered distribution centroid Mixed data clustering Intra-cluster homogeneity Iterative weight adjustment strategy Inter-cluster heterogeneity
ISSN:	0020-0255, 1872-6291
On-line přístup:	Získat plný text
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