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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Vydáno v:	Expert systems with applications Ročník 241; s. 122270
Hlavní autoři:	Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Xie, Shuang, Lan, Rong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.05.2024
Témata:	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
On-line přístup:	Získat plný text
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