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Abstract

Pancerz, K., Lewicki, A., Tadeusiewicz, R., Gomuła, J.: Ant Based Clustering of MMPI Data - An Experimental Study. In: J.T. Yao, S. Ramanna, G. Wang, Z. Suraj (Eds.), Proceedings of the 6th International Conference on Rough Sets and Knowledge Technology (RSKT'2011), Banff, Canada, October 9-12, 2011, Lecture Notes in Artificial Intelligence, Vol. 6954, Springer-Verlag, Berlin Heidelberg, 2011, pp. 366-375.


       Our research concerns psychometric data coming from the Minnesota Multiphasic Personality Inventory (MMPI) test. MMPI is one of the most frequently used in clinical mental health personality tests as well as psychopathology (mental and behavioral disorders). We are developing the Copernicus system. It is a tool for the analysis of MMPI profiles of patients with mental disorders. In this system, there have been selected and implemented different quantitative groups of methods useful for differential interprofile diagnosis. In the paper, we investigate clustering of MMPI data using one of nature-inspired heuristic approaches - ant based clustering. For this approach, we test usefulness of different dissimilarity measures of MMPI profiles both standard and those defined in the professional domain literature.