Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems

The fuzzy c-means (FCM) clustering algorithm is adversely affected by its sensitivity to initial values and its low clustering accuracy. To mitigate these shortcomings, we proposed an improved fuzzy particle swarm optimization-fuzzy C-Means (IFPSO-FCM) algorithm to resolve the data-clustering challe...

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Bibliographic Details

Published in:	Mathematics and computers in simulation Vol. 233; pp. 311 - 329
Main Authors:	Zhang, Hongkang, Huang, Shao-Lun
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2025
Subjects:	Fuzzy C-means Clustering Mahalanobis distance Particle Swarm Optimization Fuzzy C-means Clustering Particle Swarm Optimization Mahalanobis distance
ISSN:	0378-4754
Online Access:	Get full text
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