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Packages that use AbstractDistanceBasedBuilder.Candidate | |
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net.sf.myra.datamining.data |
Uses of AbstractDistanceBasedBuilder.Candidate in net.sf.myra.datamining.data |
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Methods in net.sf.myra.datamining.data with parameters of type AbstractDistanceBasedBuilder.Candidate | |
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int |
AbstractDistanceBasedBuilder.Candidate.compareTo(AbstractDistanceBasedBuilder.Candidate o)
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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)
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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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