On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions

Authors:
R. P. W. Duin
Affiliations:
Department of Applied Physics, Delft University of Technology
Venue:
IEEE Transactions on Computers
Year:
1976

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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.