Clustering with Mixed Type Variables and Determination of Cluster Numbers

0347817 - ÚI 2011 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Řezanková, H. - Húsek, Dušan - Löster, T.
Clustering with Mixed Type Variables and Determination of Cluster Numbers.
Proceedings of COMPSTAT 2010. Heidelberg: Physica Verlag, 2010 - (Lechevallier, Y.; Saporta, G.), s. 1525-1532. ISBN 978-3-7908-2603-6.
[COMPSTAT 2010. International Conference on Computational Statistics /19./. Paris (FR), 22.08.2010-27.08.2010]
Grant CEP: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: cluster analysis * entropy * Gini's coefficient of mutability * cluster number determination * Schwarz's Bayesian information criterion
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum

The main applications of cluster analysis methods concern clustering objects characterized by quantitative variables. In the paper, the evaluation criteria for the case of mixed type variables are dealt with. The criteria based on variability measures for nominal and quantitative variables are described. A combination of variance and entropy or Gini's coefficient of mutability is used. The coefficients for determination of cluster numbers based on variability measures for mixed type variables are applied to a real-data to show viability of our approach.
Trvalý link: http://hdl.handle.net/11104/0188506