Hello,
I know that SVM can deal with high dimensional data...but is there any
literature as to the max limit ? I mean gene microarray data sometimes
have 22000 features...will svm be able to deal with such high dimensions?
Also, even if svm can..would this not also depend on the speed of
the computer in order to analyse so many features in a reasonable time?
Another question is that SVM is well equipped for binary classification.
However, for multi-class classification..do you just repeat the SVM on
each new class? for example if one has 4 classes, one first
differentiates between what is in class 1 and whats not..and then remove
the data belonging to class 1 and then differentiate between whats in
class 2 and all others and so on and so forth?
wouldn't think technique also limit in some way the number of dimensions
the svm can analyse?
Thank You.
Sincerely,
Monika Ray
***********************************************************************
The sweetest songs are those that tell of our saddest thought...
Computer Science, Washington University, St. Louis, MO, USA
***********************************************************************
|