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Parzen window method for classification
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Parzen window method and classification
 
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Unlike parametric density estimation methods, non-parametric approaches locally estimate density function by a small number of neighboring samples [4] and therefore show less accurate estimation results. In spite of their accuracy, however, the performance of classifiers designed using these estimates is very satisfactory.\\
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Revision as of 06:53, 30 April 2014


Parzen window method and classification

A slecture by ECE student Chiho Choi

Partly based on the ECE662 Spring 2014 lecture material of Prof. Mireille Boutin.


in progess....


Unlike parametric density estimation methods, non-parametric approaches locally estimate density function by a small number of neighboring samples [4] and therefore show less accurate estimation results. In spite of their accuracy, however, the performance of classifiers designed using these estimates is very satisfactory.\\

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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

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