Clustering with Mixed Type Variables and Determination of Cluster Numbers

0347817 - ÚI 2011 RIV DE eng C - Conference Paper (international conference)
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]
R&D Projects: GA ČR GAP202/10/0262; GA ČR GA205/09/1079
Institutional research plan: CEZ:AV0Z10300504
Keywords : cluster analysis * entropy * Gini's coefficient of mutability * cluster number determination * Schwarz's Bayesian information criterion
Subject RIV: BB - Applied Statistics, Operational Research

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.
Permanent Link: http://hdl.handle.net/11104/0188506