This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
November 1976 (vol. 25 no. 11)
pp. 1175-1179
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.
Index Terms:
Data analysis, multidimensional probability density function, multimodal probability density function, Parzen estimators, pattern recognition, smoothing.
Citation:
R.P.W. Duin, "On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions," IEEE Transactions on Computers, vol. 25, no. 11, pp. 1175-1179, Nov. 1976, doi:10.1109/TC.1976.1674577
Usage of this product signifies your acceptance of the Terms of Use.