Autor:

Świniarski, Roman W.

Współtwórca:

Grzymala-Busse, Jerzy - ed. ; Świniarski, Roman W. - ed. ; Zhong, Ning - ed. ; Ziarko, Wojciech - ed.

Tytuł:

Rough sets methods in feature reduction and classification

Podtytuł:

Rough Sets and Their Applications

Tytuł publikacji grupowej:

AMCS, volume 11 (2001)

Temat i słowa kluczowe:

rough sets ; feature selection ; classification

Abstract:

The paper presents an application of rough sets and statistical methods to feature reduction and pattern recognition. The presented description of rough sets theory emphasizes the role of rough sets reducts in feature selection and data reduction in pattern recognition. The overview of methods of feature selection emphasizes feature selection criteria, including rough set-based methods. ; The paper also contains a description of the algorithm for feature selection and reduction based on the rough sets method proposed jointly with Principal Component Analysis. Finally, the paper presents numerical results of face recognition experiments using the learning vector quantization neural network, with feature selection based on the proposed principal components analysis and rough sets methods.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2001

Typ zasobu:

artykuł

Strony:

565-582

Źródło:

AMCS, volume 11, number 3 (2001) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

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Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego