Trainable mapping for Pudil's floating feature selection
[W,R] = FEATSELP(A,CRIT,K,T)
Forward floating selection of K features using the dataset A. CRIT sets the criterion used by the feature evaluation routine FEATEVAL. If the dataset T is given, it is used as test set for FEATEVAL. Alternatively a number of cross-validations N may be supplied. For K = 0, the optimal feature set (maximum value of FEATEVAL) is returned. The result W can be used for selecting features in a dataset B using B*W. The selected features are stored in W.DATA and can be found by +W.
Note: this routine is highly time consuming.
In R the search is reported step by step
R(:,1) : number of features