Comparison of the Accuracy of the Probabilistic Distance Clustering Method and Cluster Ensembles

Dorota Rozmus

doi:10.18778/0208-6018.322.07

Authors

Dorota Rozmus University of Economics in Katowice, Faculty of Finance and Insurance, Department of Economic and Financial Analysis

DOI:

https://doi.org/10.18778/0208-6018.322.07

Keywords:

clustering, accuracy, distance clustering method, cluster ensemble

Abstract

High accuracy of results is a very important aspect in any clustering problem t determines the effectiveness of decisions based on them. Therefore, literature proposes methods and solutions that aim to give more accurate and stable results than traditional clustering algorithms (e.g. k-means or hierarchical methods). Cluster ensembles (Leisch 1999; Dudoit, Fridlyand 2003; Hornik 2006; Fred, Jain 2002) or the distance clustering method (Ben-Israel, Iyigun 2008) are the examples of such solutions. Here, we carry out an experimental study to compare the accuracy of these two approaches.

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