WeDIV – An improved k-means clustering algorithm with a weighted distance and a novel internal validation index-Reference-Cited by-同舟云学术

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

Published:2022-12 Issue:4 Volume:23 Page:133-144
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Ning Zilan,Chen Jin,Huang Jianjun,Sabo Umar Jlbrilla,Yuan Zheming,Dai Zhijun

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference73 articles.

1. Kaufman L, Rousseeuw PJ. Finding Groups in Data: An Introduction to Cluster Analysis (DBLP); 2009.

2. Data clustering: a review;Jain;ACM Comput Surveys,1999

3. A survey of clustering algorithms for big data: taxonomy and empirical analysis;Fahad;Emerg Top Comput IEEE Trans,2014

4. TW-Co-k-means: Two-level weighted collaborative k-means for multi-view clustering;Zhang;Knowl-Based Syst,2018

5. A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE;Zhang;Knowl-Based Syst,2019

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3. A clustering method for small scRNA-seq data based on subspace and weighted distance;PeerJ;2023-01-23

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