Uses of Class
net.sf.myra.datamining.data.AbstractDistanceBasedBuilder.Candidate

Packages that use AbstractDistanceBasedBuilder.Candidate
net.sf.myra.datamining.data   
 

Uses of AbstractDistanceBasedBuilder.Candidate in net.sf.myra.datamining.data
 

Methods in net.sf.myra.datamining.data with parameters of type AbstractDistanceBasedBuilder.Candidate
 int AbstractDistanceBasedBuilder.Candidate.compareTo(AbstractDistanceBasedBuilder.Candidate o)
           
protected  int AbstractDistanceBasedBuilder.count(AbstractDistanceBasedBuilder.Candidate[] candidates, int index, int length)
          Returns the number of different class labels present in the specified distribution.
protected  IntervalBuilder.CutPoint[] MDLDistanceIntervalBuilder.create(AbstractDistanceBasedBuilder.Candidate[] candidates, boolean filter)
          Returns a list of cut points using the MDLPC criterion.
protected  IntervalBuilder.CutPoint[] DistanceIntervalBuilder.create(AbstractDistanceBasedBuilder.Candidate[] candidates, boolean filter)
           
protected abstract  IntervalBuilder.CutPoint[] AbstractDistanceBasedBuilder.create(AbstractDistanceBasedBuilder.Candidate[] candidates, boolean filter)
          Returns candidate cut point(s) given the data distribution.
 double AbstractDistanceBasedBuilder.variance(AbstractDistanceBasedBuilder.Candidate[] candidates, int index, int length)
          Returns the variance of the specified class values distribution.
 double AbstractDistanceBasedBuilder.variance(AbstractDistanceBasedBuilder.Candidate[] candidates, int index, int length, double[] mean)
          Returns the variance of the specified class values distribution.
 



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