A Multicriteria Decision Making Approach for Estimating the Number of Clusters in a Data Set

Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this task involves more than one criterion, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper proposes a multiple criteria decision making (MCDM)-based app...

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Veröffentlicht in:	PloS one Jg. 7; H. 7; S. e41713
Hauptverfasser:	Peng, Yi, Zhang, Yong, Kou, Gang, Shi, Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 27.07.2012 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Artificial Intelligence Breast cancer Cluster Analysis Clustering Clusters Computer Science Data mining Datasets Decision Making Engineering Estimation Forensic sciences Information technology Knowledge discovery Learning algorithms Linear programming Localization Machine learning Mathematics Methods Multiple criterion Social and Behavioral Sciences Studies Validity China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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