Issue No. 11 - November (1976 vol. 25)
R.P.W. Duin , Department of Applied Physics, Delft University of Technology
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.
Data analysis, multidimensional probability density function, multimodal probability density function, Parzen estimators, pattern recognition, smoothing.
R. Duin, "On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions," in IEEE Transactions on Computers, vol. 25, no. , pp. 1175-1179, 1976.