Comparative analysis of clustering algorithms implemented in IBM Intelligent Miner, Oracle91 Data Mining and Microsoft Analysis Services

Marcin Gorawski, Ewa Płuciennik

Abstract


Current database systems development forces applying new information processing technologies. One of them is data mining, composed, among the others, of classification, clustering and association rules. So far, this technology has no generał valid standards. Clustering is a special case of data mining - often it is an initial stage for applying other information analyses. In this article we present short comparison of clustering algorithms implemented in commercial tools produced by companies, which arę very active in discovering new methods in the area of information processing.

Keywords


data mining; database; clustering



DOI: http://dx.doi.org/10.21936/si2004_v25.n1.633