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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
