%0 Journal Article
	%A George E. Tsekouras and  Dimitris Papageorgiou and  Sotiris Kotsiantis and  Christos Kalloniatis and Panagiotis Pintelas
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 1, 2007
	%T Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data 
	%U https://publications.waset.org/pdf/13836
	%V 1
	%X We develop a three-step fuzzy logic-based algorithm for clustering categorical attributes, and we apply it to analyze cultural data. In the first step the algorithm employs an entropy-based clustering scheme, which initializes the cluster centers. In the second step we apply the fuzzy c-modes algorithm to obtain a fuzzy partition of the data set, and the third step introduces a novel cluster validity index, which decides the final number of clusters.

	%P 192 - 196