RECA components in rough extended clustering framework

Authors:
Dariusz Małyszko;Jarosław Stepaniuk
Affiliations:
Department of Computer Science, Biaystok University of Technology, Bialystok, Poland;Department of Computer Science, Biaystok University of Technology, Bialystok, Poland
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Year:
2011

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Abstract

Rough Extended Framework - REF - presents recently devised algorithmic approach to data analysis based upon inspection of the data object relation to predefined number of clusters or thresholds areas. Clusters most often are represented by the cluster center, and the cluster centers are viewed as cluster representitives. In the paper, in the Rough Extended Clustering Framework, the basic RECA (Rough Entropy Clustering Algorithms) construction blocks or components have been introduced and presented on illustrative examples. The introduced RECA components create starting point into data analysis performed on the REF and C-REF framework.