A new robust fuzzy clustering framework considering different data weights in different clusters

•A whole new data weighting method for fuzzy clustering is proposed.•l2-Norm regularization terms of the data weights and the feature weights are introduced.•Synthetic and benchmark datasets corroborate the effectiveness of the method. In conventional fuzzy C-means clustering algorithms, each data a...

Celý popis

Podrobná bibliografia

Vydané v:	Expert systems with applications Ročník 206; s. 117728
Hlavní autori:	Wu, Ziheng, Wang, Bing, Li, Cong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.11.2022
Predmet:	Data weights Feature weights Fuzzy C-means clustering algorithm l2-Norm regularization Fuzzy C-means clustering algorithm l2-Norm regularization Feature weights Data weights
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!