A mixed data clustering algorithm with noise-filtered distribution centroid and iterative weight adjustment strategy

•A novel mixed data clustering optimization approach is applied for cluster analysis.•Clustering performance is optimized by noise filtering distribution centroid and similarity measurement.•An Iterative weight adjustment is applied to quantify the influence of various attributes on clustering.•The...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 577; pp. 697 - 721
Main Authors:	Li, Xiangjun, Wu, Zijie, Zhao, Zhibin, Ding, Feng, He, Daojing
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.10.2021
Subjects:	Inter-cluster heterogeneity Intra-cluster homogeneity Iterative weight adjustment strategy Mixed data clustering Noise-filtered distribution centroid Noise-filtered distribution centroid Mixed data clustering Intra-cluster homogeneity Iterative weight adjustment strategy Inter-cluster heterogeneity
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!