A partitional clustering algorithm validated by a clustering tendency index based on graph theory

Applying graph theory to clustering, we propose a partitional clustering method and a clustering tendency index. No initial assumptions about the data set are requested by the method. The number of clusters and the partition that best fits the data set, are selected according to the optimal clusteri...

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Vydané v:	Pattern recognition Ročník 39; číslo 5; s. 776 - 788
Hlavní autori:	Brás Silva, Helena, Brito, Paula, Pinto da Costa, Joaquim
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2006
Predmet:	Clustering algorithms Clustering validity Unsupervised learning Clustering validity Clustering algorithms Unsupervised learning
ISSN:	0031-3203, 1873-5142
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