

   CCoonnddeennssee ttrraaiinniinngg sseett ffoorr kk--NNNN ccllaassssiiffiieerr

        condense(train, class, store)

   AArrgguummeennttss::

      train: matrix for training set

      class: vector of classifications for test set

      store: initial store set. Default one randomly chosen
             element of the set.

   DDeessccrriippttiioonn::

        The store set is used to 1-NN classify the rest, and
        misclassified patterns are added to the store set. The
        whole set is checked until no additions occur.

   VVaalluuee::

        index vector of cases to be retained (the final store
        set).

   RReeffeerreenncceess::

        P. A. Devijver and J. Kittler (1982) Pattern Recogni-
        tion. A Statistical Approach.  Prentice-Hall, pp.
        119-121.

   SSeeee AAllssoo::

        `reduce.nn', `multiedit'

