What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm-Reference-Cited by-同舟云学术

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What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm

Published:2016-09-26 Issue:9 Volume:11 Page:e0162259
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Raykov Yordan P.,Boukouvalas Alexis,Baig Fahd,Little Max A.

Funder

Aston research centre for healthy ageing

National Institutes of Health

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference50 articles.

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3. A quality driven hierarchical data divisive soft clustering for information retrieval;G Bordogna;Knowledge-Based Systems,2012

4. Semi-supervised clustering on heterogeneous information networks;C Luo;Advances in Knowledge Discovery and Data Mining,2014

5. Identifying the clusters within nonmotor manifestations in early Parkinson’s disease by using unsupervised cluster analysis;HJ Yang;PLoS One,2014

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