R help - Nov 2009 - kernel density estimation and classification

Hi,
 
I am interested to use Kernel Density Estimation on bivariate data for
multi-class classification.
 
So far, I have managed to use the 'ks' package to plot the contours of
the kernel density estimates based on 8-class training dataset with only 2
variables.
 
However, I do not know how to make use of the Kernel Density Analysis results as
input into a classifier (e.g. Bayesian classifiers) to accomplish the task of
classifying testing dataset into 8 different classes.
 
I will really appreciate any suggestions or advice.
 
Thanks.
 
regards,
WK

Hi,

I am interested to use Kernel Density Estimation on bivariate data for
multi-class classification.

So far, I have managed to use the 'ks' package to plot the contours of
the kernel density estimates based on 8-class training dataset with only 2
variables.

However, I do not know how to make use of the Kernel Density Analysis results as
input into a classifier (e.g. Bayesian classifiers) to accomplish the task of
classifying testing dataset into 8 different classes.

I will really appreciate any suggestions or advice.

Thanks.

regards,
WK