A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering

Determining the number of clusters, which is usually approved by domain experts or evaluated by clustering validity indexes, is an important issue in clustering analysis. This study discusses the effectiveness of clustering validity indexes for centroid-based partitional clustering algorithms. Most...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 23; H. 3; S. 701 - 718
Hauptverfasser:	Wu, Chih-Hung, Ouyang, Chen-Sen, Chen, Li-Wen, Lu, Li-Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Algorithm design and analysis Clustering algorithms Indexes Open systems Partitioning algorithms Principal component analysis Signal processing algorithms clustering validity index (CVI) Clustering analysis partitional clustering algorithm fuzzy c-means (FCM) clustering algorithm
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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