CLASSIFY classifies sample data into categories
defined by the training data and its group information
CLASS = classify(sample, training, group)
CLASS = classify(sample, training, group, TYPE)
[CLASS,ERR,POSTERIOR,LOGP,COEF] = CLASSIFY(...)
CLASS contains the assigned group.
ERR is the classification error on the training set weighted by the
prior propability of each group.
The same classifier as in TRAIN_SC are supported.
ATTENTION: no cross-validation is applied, therefore the
classification error is too optimistic (overfitting).
Use XVAL instead to obtain cross-validated performance.
see also: TRAIN_SC, TEST_SC, XVAL
References:
[1] R. Duda, P. Hart, and D. Stork, Pattern Classification, second ed.
John Wiley & Sons, 2001.