Local Estimate of Distribution Mapping Exponent for Classification of Multivariate Data

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SYSNO ASEP	0105220
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Local Estimate of Distribution Mapping Exponent for Classification of Multivariate Data
Title	Lokální odhad Exponent mapovací funkce rozdělení pro klasifikaci mnohorozměrných dat
Author(s)	Jiřina, Marcel (UIVT-O)_{SAI, RID}
Source Title	Engineering of Intelligent Systems. - Millet : ICSC, 2004 - ISBN 3-906454-35-5
Pages	s. 1-6
Number of pages	6 s.
Action	International ICSC Symposium on Engineering of Inteligent Systems /4./
Event date	29.02.2004-02.03.2004
VEvent location	Madeira
Country	PT - Portugal
Event type	WRD
Language	eng - English
Country	CA - Canada
Keywords	multivariate data ; classification ; probability distribution mapping function ; distribution mapping exponent
Subject RIV	BA - General Mathematics
R&D Projects	LN00B096 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
Annotation	The method proposed is based on notion of distribution mapping exponent and its local estimate q for each point. It is shown that the sum of reciprocals of q-th power of distances can be used as the probability density estimate. The classification quality was tested using data from UCI Machine Learning Repository. The method has no tuning parameters.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2005

Number of the records: 1