Application of Clustering in the Non-Parametric Estimation of Distribution Density
This paper discusses a multimodal density function estimation problem of a random vector. A comparative accuracy analysis of some popular non-parametric estimators is made by using the Monte-Carlo method. The paper demonstrates that the estimation quality increases significantly if the sample is cl...
Main Authors: | T. Ruzgas, R. Rudzkis, M. Kavaliauskas |
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Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2006-11-01
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Series: | Nonlinear Analysis |
Subjects: | |
Online Access: | http://www.journals.vu.lt/nonlinear-analysis/article/view/14741 |
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