Dear all, I am exploring the possibilities for automated classification of my data. I have successfully used KNN, but was thinking about looking at SVM (which I did nto use before). I have a pairwise distance matrix of training observations which are classified in set classes, and a distance matrix of new observations to the training ones. Is it possible to use distance matrices for SVM, and if yes, which package would do so (e1071 ? ). I have little experience with SVM, and I had the impression that it is a/ usually used with data taht have observations in terms of a number of variables (hence, not pariwise distances); b/ it is not well suited for large multidimensional spaces (I have a distance matrix of 200*200 observations, a part of this could be used as training data, but still, we are looking at say 50 distances per observation).
Thanks Martin [[alternative HTML version deleted]] ______________________________________________ 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.