A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance

[Display omitted] •Propose PFGG clustering algorithm.•PFGG uses the exponential distance in contrast to PFCM.•PFGG clusters the dataset containing noisy data accurately.•The clustering accuracies, cluster centers and convergence results of PFGG are significantly better than FCM, GG, PFCM. As a famou...

Full description

Bibliographic Details

Published in:	Expert systems with applications Vol. 184; p. 115550
Main Authors:	Wu, Xiaohong, Zhou, Haoxiang, Wu, Bin, Zhang, Tingfei
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.12.2021 Elsevier BV
Subjects:	Algorithms Clustering Covariance matrix Euclidean geometry GG clustering Hyperellipsoidal data Noise data Noise sensitivity PFCM clustering PFGG clustering PFCM clustering PFGG clustering Hyperellipsoidal data GG clustering Noise data
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!