A feature-weighted suppressed possibilistic fuzzy c-means clustering algorithm and its application on color image segmentation

The possibilistic fuzzy c-means clustering (PFCM) algorithm is a hybridization of possibilistic c-means clustering (PCM) and fuzzy c-means clustering (FCM) algorithms. However, there are two main problems in PFCM. One is that the Euclidean distance employed in PFCM always disregards the imbalance am...

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Veröffentlicht in:	Expert systems with applications Jg. 241; S. 122270
Hauptverfasser:	Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Xie, Shuang, Lan, Rong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2024
Schlagworte:	Feature weight Fuzzy c-means clustering (FCM) Image segmentation Possibilistic fuzzy c-means clustering (PFCM) Suppressed competitive learning Suppressed competitive learning Image segmentation Feature weight Fuzzy c-means clustering (FCM) Possibilistic fuzzy c-means clustering (PFCM)
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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