Journal
PATTERN RECOGNITION
Volume 46, Issue 1, Pages 243-256Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2012.07.021
Keywords
Crisp clustering; Cluster validity index; Comparative analysis
Funding
- University of the Basque Country [GIU10/02]
- Science and Education Department of the Spanish Government [TIN2010-15549]
- Basque Government's SAIOTEK program [S-PE11UN097]
- Diputacion Foral de Gipuzkoa (Zer4you project) [DG10/5]
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The validation of the results obtained by clustering algorithms is a fundamental part of the clustering process. The most used approaches for cluster validation are based on internal cluster validity indices. Although many indices have been proposed, there is no recent extensive comparative study of their performance. In this paper we show the results of an experimental work that compares 30 cluster validity indices in many different environments with different characteristics. These results can serve as a guideline for selecting the most suitable index for each possible application and provide a deep insight into the performance differences between the currently available indices. (C) 2012 Elsevier Ltd. All rights reserved.
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