Similarity classifier with generalized mean; ideal vector approach

Authors:
Jouni Sampo;Pasi Luukka
Affiliations:
Lappeenranta University of Technology, Lappeenranta, Finland;Lappeenranta University of Technology, Lappeenranta, Finland
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

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Abstract

In this paper a study of similarity based classifier with generalized mean and ideal class vector approach is carried out. Before this ideal class vectors in the classifier has been very little investigated area and here focus is changed to study truly 'ideal' vectors to represent class and similarity measure with its power parameters has been taken from best results in our previous studies. To find correct ideal vectors a search using differential evolution algorithm is carried out.