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Evaluation of Categorical Data Clustering
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SYSNO ASEP 0356106 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Evaluation of Categorical Data Clustering Author(s) Řezanková, H. (CZ)
Löster, T. (CZ)
Húsek, Dušan (UIVT-O) RID, SAI, ORCIDSource Title Advances in Intelligent Web Mastering - 3. - Berlin : Springer, 2011 / Mugellini E. ; Szczepaniak P.S. ; Pettenati M.C. ; Sokhn M. - ISSN 1867-5662 - ISBN 978-3-642-18028-6 Pages s. 173-182 Number of pages 10 s. Action AWIC 2011. Atlantic Web Intelligence Conference /7./ Event date 26.01.2011-28.01.2011 VEvent location Fribourg Country CH - Switzerland Event type WRD Language eng - English Country DE - Germany Keywords cluster analysis ; nominal variable ; determination of cluster numbers ; evaluation of clustering Subject RIV IN - Informatics, Computer Science R&D Projects GAP202/10/0262 GA ČR - Czech Science Foundation (CSF) GA205/09/1079 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000290421700018 EID SCOPUS 80052929337 DOI 10.1007/978-3-642-18029-3_18 Annotation Methods of cluster analysis are well known techniques of multivariate analysis used for many years. Their main applications concern clustering objects characterized by quantitative variables. For this case various coefficients for clustering evaluation and determination of cluster numbers have been proposed. However, in some areas, i.e., for segmentation of Internet users, the variables are often nominal or ordinal as their origin in questionnaire responses. That is why we are dealing with the evaluation criteria for the case of categorical variables here. The criteria based on variability measures are proposed. Instead of variance as a measure for quantitative variables, three measures for nominal variables are considered: the variability measure based on a modal frequency, Gini’s coefficient of mutability, and the entropy. The proposed evaluation criteria are applied to a real-dataset. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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