Monday, 28 February 2011

Wseas Transactions

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Transactions: INTERNATIONAL JOURNAL of COMPUTERS AND COMMUNICATIONS
Transactions ID Number: 20-463
Full Name: Erendira Rendon Lara
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: Av. Tecnologico s/n Metepec, edo. Méx. México
Country: MEXICO
Tel: 2112027
Tel prefix: 55 222
Fax:
E-mail address: erendir@prodigy.net.mx
Other E-mails: erendon@ittoluca.edu.mx
Title of the Paper: internal versus external cluster validation indexes
Authors as they appear in the Paper: Eréndira Rendón, Itzel Abundez, Alejandra Arizmendi and Elvia M. Quiroz
Email addresses of all the authors: erendir@prodigy.net.mx, erendon@ittoluca,iabundez@ittoluca.edu.mx
Number of paper pages: 8
Abstract: One of fundamental challenges of clustering is how to evaluate results, without auxiliary information. A common approach for evaluation of clustering results is to use validity indexes. Clustering validity approaches can use three criteria: External criteria (evaluate the result with respect to a pre-specified structure), internal criteria (evaluate the result with respect a information intrinsic to the data alone). Consequently, different types of indexes are used to solve different types of problems and indexes selection depends on the kind of available information. That is why in this paper we show a comparison between external and internal indexes. Results obtained in this study indicate that internal indexes are more accurate in group determining in a given clustering structure. Six internal indexes were used in this study: BIC, CH, DB, SIL, NIVA and DUNN and four external indexes (F-measure, NMIMeasure, Entropy, Purity). The clusters that were used were obta!
ined through clustering algorithms K-means and Bissecting-K-means.
Keywords: Cluster validity, clustering algorithm, external indexes, internal indexes.
EXTENSION of the file: .pdf
Special (Invited) Session: A comparison of internal and external cluster validation indexes
Organizer of the Session: 649-252
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