DocumentCode
1132002
Title
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
Author
Duin, Robert P W
Author_Institution
Department of Applied Physics, Delft University of Technology
Issue
11
fYear
1976
Firstpage
1175
Lastpage
1179
Abstract
Parzen estimators are often used for nonparametric estimation of probability density functions. The smoothness of such an estimation is controlled by the smoothing parameter. A problem-dependent criterion for its value is proposed and illustrated by some examples. Especially in multimodal situations, this criterion led to good results.
Keywords
Data analysis, multidimensional probability density function, multimodal probability density function, Parzen estimators, pattern recognition, smoothing.; Covariance matrix; Kernel; Optimization methods; Parameter estimation; Physics; Probability density function; Smoothing methods; Yield estimation; Data analysis, multidimensional probability density function, multimodal probability density function, Parzen estimators, pattern recognition, smoothing.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1976.1674577
Filename
1674577
Link To Document