Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6400
Title: Combining validity indexes and multi-objective optimization based clustering
Authors: Ozyer, Tansel
Alhajj, Reda
Keywords: [No Keywords]
Issue Date: 2006
Publisher: World Scientific Publ Co Pte Ltd
Source: 7th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science -- AUG 29-31, 2006 -- Genoa, ITALY
Abstract: In this study, we present a clustering approach that automatically determines the number of clusters before starting the actual clustering process. This is achieved by first running a multi-objective genetic algorithm on a sample of the given dataset to find the set of alternative solutions for a given range. Then, we apply cluster validity indexes to find the most appropriate number of clusters. Finally, we run CURE to do the actual clustering by feeding the determined number of clusters as input. The reported test results demonstrate the applicability and effectiveness of the proposed approach.
URI: https://doi.org/10.1142/9789812774118_0030
https://hdl.handle.net/20.500.11851/6400
ISBN: 981-256-690-2
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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