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.
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Sampo, J., Luukka, P. (2006). Similarity Classifier with Generalized Mean; Ideal Vector Approach. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_142
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DOI: https://doi.org/10.1007/11881599_142
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45916-3
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