Estimating the number of clusters using a windowing technique
Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis · Pattern Recognition and Image Analysis · 2006
Clustering is the process of partitioning a set of patterns into disjoint and homogeneous meaningful groups (clusters). A fundamental and unresolved issue in cluster analysis is to determine how many clusters are present in a given set of patterns. In this paper, we present the z -windows clustering algorithm, which aims to address this problem using a windowing technique. Extensive empirical tests that illustrate the efficiency and the accuracy of the propsoed method are presented.