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A hybrid stochastic genetic–GRASP algorithm for clustering analysis

Zopounidis Konstantinos, Michael Doumpos, Marinaki Magdalini, Marinakis Ioannis, Matsatsinis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/167DFC2F-94BC-46B0-B4E6-800FF41DD71B-
Identifierhttp://link.springer.com/article/10.1007/s12351-008-0004-8-
Identifierhttps://doi.org/10.1007/s12351-008-0004-8-
Languageen-
Extent14 pagesen
TitleA hybrid stochastic genetic–GRASP algorithm for clustering analysisen
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
CreatorMichael Doumposen
CreatorΔουμπος Μιχαληςel
CreatorMarinaki Magdalinien
CreatorΜαρινακη Μαγδαληνηel
CreatorMarinakis Ioannisen
CreatorΜαρινακης Ιωαννηςel
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
PublisherSpringer Verlagen
Content SummaryThis paper presents a new stochastic methodology, which is based on the concepts of genetic algorithms (GAs) and greedy randomized adaptive search procedure (GRASP), for optimally clustering N objects into K clusters. The proposed stochastic algorithm (Hybrid GEN–GRASP) for the solution of the clustering problem is a two phase algorithm which combines a genetic algorithm for the solution of the feature selection problem and a GRASP algorithm for the solution of the clustering problem. Due to the nature of stochastic and population-based search, the proposed algorithm can overcome the drawbacks of traditional clustering methods. Its performance is compared with another methodology that uses for the solution of the feature selection problem a very popular metaheuristic method, the Tabu Search algorithm. Results from the application of the methodology to data sets from the UCI Machine Learning Repository are presented.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-18-
Date of Publication2008-
SubjectGenetic algorithms en
SubjectGRASPen
SubjectClustering analysis en
SubjectFeature selection problemen
Bibliographic CitationY. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, "A hybrid stochastic genetic–GRASP algorithm for clustering analysis," Operation. Res., vol. 8, no. 1, pp. 33-46, May 2008. doi:10.1007/s12351-008-0004-8en

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