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Correlation Dimension Estimation for Classification
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SYSNO ASEP 0083166 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Correlation Dimension Estimation for Classification Title Odhad korelační dimense pro klasifikaci Author(s) Jiřina, Marcel (UIVT-O) SAI, RID
Jiřina jr., M. (CZ)Source Title International Journal of Information Technology and Intelligent Computing - ISSN 1895-8648
Roč. 1, č. 3 (2006), s. 547-557Number of pages 11 s. Language eng - English Country PL - Poland Keywords correlation dimension ; probability density estimation ; classification ; UCI MLR Subject RIV BA - General Mathematics R&D Projects 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation In this paper we introduce a new approach that utilizes the correlation dimension (CD) both for probability density estimate of data and consequently for classification. It will be shown that just a classifier utilizing CD exhibits significantly better behavior (classification accuracy) then other kinds of classifiers. New CD-based classifier outperforms DME classifier and many classifiers published on Machine Learning Repository pages. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2007
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