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

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