DistributionBasedComparisonMeasure() | kddml.Core.DataMining.Clustering.DistributionBasedComparisonMeasure | |
EM_DISTANCE(double[] cluster_priors) | kddml.Core.DataMining.Clustering.EM_DISTANCE | |
getDistributionProbability(Cluster[] clusters, Instance instance) | kddml.Core.DataMining.Clustering.EM_DISTANCE | [virtual] |
getFunctionName() | kddml.Core.DataMining.Clustering.EM_DISTANCE | [virtual] |
isCentroidBased() | kddml.Core.DataMining.Clustering.DistributionBasedComparisonMeasure | [virtual] |
log2 | kddml.Core.DataMining.Clustering.EM_DISTANCE | [package, static] |
m_normConst | kddml.Core.DataMining.Clustering.EM_DISTANCE | [package, static] |
priors | kddml.Core.DataMining.Clustering.EM_DISTANCE | [package] |
toString() | kddml.Core.DataMining.Clustering.ComparisonMeasure | |
toXML() | kddml.Core.DataMining.Clustering.EM_DISTANCE | [protected, virtual] |