Agglomerative Hierarchical Multicriteria Clustering Using Decision Rules
Vladimir Batagelj, Anuška Ferligoj · COMPSTAT · 1990
In a multicriteria clustering problem optimization over more than one criterion is required. The problem can be treated in different ways. In this paper the agglomerative hierarchical method based on decision rules for making decisions under uncertainty is proposed for solving multicriteria clustering problem. An application of proposed approach to Rosenberg and Kim kinship data is presented.