gensubsets
GENSUBSETS
Generate sequence of nested training sets
[L,R] = GENSUBSETS(NLAB,S)
[L,R] = GENSUBSETS(A,S)
Input  NLAB  Column vector of numeric labels of some dataset A.  NLAB  = GETNLAB(A)  A  Dataset for which subsets are to be created  S  Array of growing subset sizes.  S(K,J)  should specify the size of training set K for class J with numeric label J. 
Output  L  Cell array of length SIZE(S,1)+1 containing a series of growing sets of indices or datasets. Datasets can be reconstructed from indices by A(L{K},:). The last element of L refers to the original dataset A  R  Cell array of length SIZE(S,1)+1 containing a series of shrinking sets of indices or datasets. Datasets can be reconstructed from indices by A(R{K},:). The last element of R is empty. 
Description Learning curves of classifier performances should be based on a consistent set of training sets, such that training set K1 is a subset of training set K2 if K1 < K2. This routine generates such a set on the basis of the numeric labels of the dataset A. L refers to the selected objects and R to the deselected ones. See also
datasets, gendat, This file has been automatically generated. If badly readable, use the helpcommand in Matlab. 
