prtClassKmeansPrototypes  K-means prototypes classifier
 
     CLASSIFIER = prtClassKmeansPrototypes returns a K-means prototypes
     classifier
 
     CLASSIFIER = prtClassKmeansPrototypes(PROPERTY1, VALUE1, ...)
     constructs a prtClassKmeansPrototypes object CLASSIFIER with properties as
     specified by PROPERTY/VALUE pairs.
 
     A prtClassKmeansPrototypes object inherits all properties from the
     abstract class prtClass. In addition is has the following
     properties:
 
     nClustersPerHypothesis -  The number of clusters per hypothesis
 
     clusterCenters         -  The cluster centers (set during
                               training)
  
     For information on the  K-means prototype classifier
     algorithm, please refer to:
 
     Hastie, Tibshirani, Friedman, The Elements of Statistical Learning
 
     A prtClassKmeansPrototypes object inherits the TRAIN, RUN,
     CROSSVALIDATE and KFOLDS methods from prtAction. It also inherits
     the PLOT method from prtClass.
 
     Example:
 
      TestDataSet = prtDataGenMary;      % Create some test and 
      TrainingDataSet = prtDataGenMary;  % training data
      classifier = prtClassKmeansPrototypes; % Create a classifier
      classifier = classifier.train(TrainingDataSet);    % Train
      classified = run(classifier, TestDataSet);         % Test
      [~, classes] = max(classified.getX,[],2);          % Select the
                                                         % classes
      percentCorr = prtScorePercentCorrect(classes,TestDataSet.getTargets);
      classifier.plot;