Validating cluster structures in data mining tasks

Abstract

Clustering has been a subject of wide research since it arises in many application domains. One of the clustering process issues is the evaluation of clustering results. Estimation of the obtained cluster structure quality is the main subject of cluster validity. In several years many cluster validity indexes were presented in the research community, but the general approach for clustering evaluation was not developed. In our work we are going to produce some methodology for cluster validity estimation and construct a special framework for its measure, which will combine a couple of current methods in one suitable tool. We suggest that these investigations will help a wide range of analyst in theirs work with clustering.