Improved K‐means algorithm for clustering non‐spherical data

As one of the commonly used data mining algorithms, K‐means has the advantage of fast clustering speed, but the disadvantage is that it is less effective for clustering non‐spherical data. An improved K‐means algorithm (IK‐means) is proposed to enhance clustering efficiency for non‐spherical data. T...

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Bibliographic Details

Published in:	Expert systems Vol. 39; no. 9
Main Authors:	He, Honglei, He, Yuxuan, Wang, Fang, Zhu, Wenming
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.11.2022
Subjects:	Algorithms arbitrary shape Clustering Data mining Datasets Density improved algorithm K‐means non‐spherical
ISSN:	0266-4720, 1468-0394
Online Access:	Get full text
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