Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/5546
Author(s): | Cardoso, Margarida G. M. S. Carvalho, André Ponce de Leon F. de |
Date: | 2009 |
Title: | Quality indices for (practical) clustering evaluation |
Volume: | 13 |
Number: | 5 |
Pages: | 725-740 |
Reference: | Cardoso, M. G. S., & Carvalho, A. P. L. F. de (2009) Quality indices for (practical) clustering evaluation. Intelligent Data Analysis, 13(5), 725-740. http://dx.doi.org/10.3233/IDA-2009-0390 |
ISSN: | 1088-467X |
Keywords: | Cluster validation Validation indices Quality indices Clustering |
Abstract: | Clustering quality or validation indices allow the evaluation of the quality of clustering in order to support the selection of a specific partition or clustering structure in its natural unsupervised environment, where the real solution is unknown or not available. In this paper, we investigate the use of quality indices mostly based on the concepts of clusters' compactness and separation, for the evaluation of clustering results (partitions in particular). This work intends to offer a general perspective regarding the appropriate use of quality indices for the purpose of clustering evaluation. After presenting some commonly used indices, as well as indices recently proposed in the literature, key issues regarding the practical use of quality indices are addressed. A general methodological approach is presented which considers the identification of appropriate indices thresholds. This general approach is compared with the simple use of quality indices for evaluating a clustering solution. |
Peerreviewed: | Sim |
Access type: | Open Access |
Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
article_hdl5546.pdf | 214,99 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.