A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters-Reference-Cited by-同舟云学术

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A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters

Published:2020-09 Issue: Volume:61 Page:36-47
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Bai Liang,Liang Jiye,Cao Fuyuan

Funder

National Natural Science Foundation of China

Technology Research Development Projects of Shanxi

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference57 articles.

1. Data Mining: Concepts and Techniques;Han,2001

2. Algorithms for Clustering Data;Jain,1988

3. Data clustering: 50 years beyond k-means;Jain;Pattern Recognit. Lett.,2010

4. Cluster ensembles: a knowledge reuse framework for combining multiple partitions;Strehl;J. Mach. Learn. Res.,2002

5. Clustering aggregation;Gionis;ACM Trans. Knowl. Discov. Data,2007

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