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On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
November 1976 (vol. 25 no. 11)
pp. 1175-1179
| ASCII Text | x | ||
| 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, November, 1976. | |||
| BibTex | x | ||
| @article{ 10.1109/TC.1976.1674577, author = {R.P.W. Duin}, title = {On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions}, journal ={IEEE Transactions on Computers}, volume = {25}, number = {11}, issn = {0018-9340}, year = {1976}, pages = {1175-1179}, doi = {http://doi.ieeecomputersociety.org/10.1109/TC.1976.1674577}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Computers TI - On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions IS - 11 SN - 0018-9340 SP1175 EP1179 EPD - 1175-1179 A1 - R.P.W. Duin, PY - 1976 KW - Data analysis KW - multidimensional probability density function KW - multimodal probability density function KW - Parzen estimators KW - pattern recognition KW - smoothing. VL - 25 JA - IEEE Transactions on Computers ER - | |||
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
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