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...

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Bibliographic Details
Main Authors: T. Ruzgas, R. Rudzkis, M. Kavaliauskas
Format: Article
Language:English
Published: Vilnius University Press 2006-11-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.journals.vu.lt/nonlinear-analysis/article/view/14741