[ITK-users] Classification from a training text file

[Francisco Lopez de la Franca]

Hi.
I have a text file made up of N rows and M columns. Each row represents a
measurement of M features, that is, Weka-styled.
I could add a last column with the class of every measurement but it is
optional.

I've been havinig a look at the ITK classification classes (Bayesian,
k-means, etc.), but they receive an image as input (e.g. a vector image).

I'd like to know what is the best way, in my case, to perform the
classification of the measurements stored in my training text file.

Thank you very much in advance.
My best regards.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://public.kitware.com/pipermail/insight-users/attachments/20150417/4363edf8/attachment.html>