Number of the records: 1
Clustering with Mixed Type Variables and Determination of Cluster Numbers
- 1.
SYSNO ASEP 0347817 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Clustering with Mixed Type Variables and Determination of Cluster Numbers Author(s) Řezanková, H. (CZ)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Löster, T. (CZ)Source Title Proceedings of COMPSTAT 2010. - Heidelberg : Physica Verlag, 2010 / Lechevallier Y ; Saporta G. - ISBN 978-3-7908-2603-6 Pages s. 1525-1532 Number of pages 8 s. Publication form flash disk - flash disk Action COMPSTAT 2010. International Conference on Computational Statistics /19./ Event date 22.08.2010-27.08.2010 VEvent location Paris Country FR - France Event type WRD Language eng - English Country DE - Germany Keywords cluster analysis ; entropy ; Gini's coefficient of mutability ; cluster number determination ; Schwarz's Bayesian information criterion Subject RIV BB - Applied Statistics, Operational Research 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) Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
Number of the records: 1