Classes and clusters in data analysis

We discuss the relation between classes and clusters in datasets with given classes. We examine the distribution of classes within obtained clusters, using different clustering methods which are based on different techniques. We also study the structure of the obtained clusters. One of the main conc...

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Veröffentlicht in:	European journal of operational research 2006-09, Vol.173 (3), p.849-865
Hauptverfasser:	Rubinov, A.M., Soukhorokova, N.V., Ugon, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Cluster analysis Comparison of classes and clusters Data analysis Data mining Dataset with classes Optimization clustering model Optimization techniques Point-based clustering Studies
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Beschreibung
Zusammenfassung:	We discuss the relation between classes and clusters in datasets with given classes. We examine the distribution of classes within obtained clusters, using different clustering methods which are based on different techniques. We also study the structure of the obtained clusters. One of the main conclusions, obtained in this research is that the notion purity cannot be always used for evaluation of accuracy of clustering techniques.
ISSN:	0377-2217 1872-6860
DOI:	10.1016/j.ejor.2005.04.047