Journals Proceedings

Abstract

The aim of this paper is to create a process that compare time response of some clustering algorithms in data Mining , the subset of this experimentation is a data set stored in Teradata . In this paper, we present a novel hierarchical clustering algorithm called CHAMELEON that measures the similarity of two clusters based on a dynamic model. We present also k Means as representative of Partitioned ones, and DBSCAN as part of Density Based.