Practical approaches to statistical pattern recognition

• Autorzy: Jóźwik A.
• Języki publikacji: EN

Abstrakty

EN

The paper describes new approaches to statistical pattern recognition. All presented methods are based on a distance function. The properties of these methods and their usefulness are illustrated on real problems. Some tasks with small and very large training sets are described to shown an effectiveness of the proposed approaches. There is no one universal method that would be satisfactory for all object classification problems. That's why several methods have been demonstrated.

Słowa kluczowe

EN

k-NN rule; fuzzy classification; sample set reduction; multistage classification; parallel classifier; distance feature space

PL

biocybernetyka; inżynieria biomedyczna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2002
• Tom: Vol. 22, no. 2-3
• Strony: 207--221
• Opis fizyczny: Bibliogr., rys., tab., wykr.

Twórcy

autor

Jóźwik A.

• Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warsaw, Poland,