A clustering algorithm based on distinguishability for nominal attributes

Authors:
Maciej Krawczak;Grażyna Szkatuła
Affiliations:
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland and Warsaw School of Information Technology, Warsaw, Poland;Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Year:
2012

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Abstract

In this paper we developed a new methodology for grouping objects described by nominal attributes. We introduced a definition of condition's domination within each pair of cluster, and next the measure of ω-distinguishability of clusters for creating a junction of clusters. The developed method is hierarchical and agglomerative one and can be characterized both by high speed of computation as well as extremely good accuracy of clustering.