| PRTools contents |
GENSUBSETS
[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. |
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.
| PRTools contents |