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.
Package: nan