WeDIV – An improved k-means clustering algorithm with a weighted distance and a novel internal validation index

Designing appropriate similarity metrics (distance) and estimating the optimal number of clusters have been two important issues in cluster analysis. This study proposed an improved k-means clustering algorithm involving a Weighted Distance and a novel Internal Validation index (WeDIV). The weighted...

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Bibliographic Details

Published in:	Egyptian informatics journal Vol. 23; no. 4; pp. 133 - 144
Main Authors:	Ning, Zilan, Chen, Jin, Huang, Jianjun, Sabo, Umar Jlbrilla, Yuan, Zheming, Dai, Zhijun
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2022 Elsevier
Subjects:	Clustering EP_dis formula omitted Internal validation index RCH Weighted distance EP_dis Internal validation index Weighted distance Clustering RCH
ISSN:	1110-8665, 2090-4754
Online Access:	Get full text
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