Cluster selection in divisive clustering algorithms
Sergio M. Savaresi, Daniel L. Boley, S. Bittanti, Giovanna Gazzaniga · 2002
1 Introduction The problem this paper focuses on is the classical problem of unsupervised clustering of a data-set. In particular, the bisecting divisive clustering approach is here considered. This approach consists in recursively splitting a cluster into two sub-clusters, starting from the main data-set. This is one of the more basic and common problems in fields like pattern analysis, data mining, document retrieval, image segmentation, decision making, etc. ([13], [15]).