A new approach for the clustering using pairs of prototypes

• Autorzy: Jezewski M. , Czabanski R. , Leski J. , Horoba K.
• Języki publikacji: EN

Abstrakty

EN

In the presented work two variants of the fuzzy clustering approach dedicated for determining the antecedents of the rules of the fuzzy rule-based classifier were presented. The main idea consists in adding additional prototypes (’prototypes in between’) to the ones previously obtained using the fuzzy c-means method (ordinary prototypes). The ’prototypes in between’ are determined using pairs of the ordinary prototypes, and the algorithm based on distances and densities finding such pairs was proposed. The classification accuracy obtained applying the presented clustering approaches was verified using six benchmark datasets and compared with two reference methods.

Słowa kluczowe

EN

fuzzy clustering; pairs of prototypes; fuzzy rule-based classification

PL

grupowanie rozmyte; pary prototypów; rozmyta klasyfikacja oparta na regułach

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2015
• Tom: Vol. 24
• Strony: 113--121
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Jezewski M.

• Silesian University of Technology, Institute of Electronics, Akademicka Str. 16, 44-100 Gliwice, Poland

autor

Czabanski R.

• Silesian University of Technology, Institute of Electronics, Akademicka Str. 16, 44-100 Gliwice, Poland

autor

Leski J.

• Silesian University of Technology, Institute of Electronics, Akademicka Str. 16, 44-100 Gliwice, Poland

autor

Horoba K.

• Institute of Medical Technology and Equipment ITAM, Roosevelt Str. 118, 41-800 Zabrze, Poland

Bibliografia

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