A New Soft Computing Method for K-Harmonic Means Clustering-Reference-Cited by-同舟云学术

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A New Soft Computing Method for K-Harmonic Means Clustering

Published:2016-11-15 Issue:11 Volume:11 Page:e0164754
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yeh Wei-Chang^ORCID,Jiang Yunzhi,Chen Yee-Fen,Chen Zhe

Funder

National Science Council of Taiwan, R.O.C.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. Cluster Analysis for Application;M.R. Anderberg,1973

2. , Clustering for Data Mining: A Data Recovery Approach;B. Mirkin,2005

3. Data clustering: A review;A.K. Jain;ACM Computational Survey,1999

4. Sur la division des corps matériels en parties;H. Steinhaus;Bull. Acad. Polon. Sci.,1957

5. Cluster analysis of multivariate data: efficiency versus interpretability of classifications;E.W. Forgy;Biometrics,1965

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Variation Trend Prediction of Dam Displacement in the Short-Term Using a Hybrid Model Based on Clustering Methods;Applied Sciences;2023-09-29

2. Correction: A New Soft Computing Method for K-Harmonic Means Clustering;PLOS ONE;2017-01-03

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