A Novel Data-Driven Approach to Autonomous Fuzzy Clustering

In this article, a new data-driven autonomous fuzzy clustering (AFC) algorithm is proposed for static data clustering. Employing a Gaussian-type membership function, AFC first uses all the data samples as microcluster medoids to assign memberships to each other and obtains the membership matrix. Bas...

Full description

Bibliographic Details

Published in:	IEEE transactions on fuzzy systems Vol. 30; no. 6; pp. 2073 - 2085
Main Authors:	Gu, Xiaowei, Ni, Qiang, Tang, Guolin
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Clustering Clustering algorithms Data driven Data mining Data models fuzzy clustering Kernel Linear programming locally optimal partition medoids Nickel Optimization Partitioning algorithms pattern recognition
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!