BINARY_SIMILARITY(AttributeComparisonMeasure[] attribute_comparison, double[] weights, double c00_param, double c01_param, double c10_param, double c11_param, double d00_param, double d01_param, double d10_param, double d11_param) | kddml.Core.DataMining.Clustering.BINARY_SIMILARITY | |
BINARY_SIMILARITY(ClusterDescription cluster_description, double c00_param, double c01_param, double c10_param, double c11_param, double d00_param, double d01_param, double d10_param, double d11_param) | kddml.Core.DataMining.Clustering.BINARY_SIMILARITY | |
CentroidBasedComparisonMeasure(AttributeComparisonMeasure[] attribute_comparison, double[] weights) | kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure | |
CentroidBasedComparisonMeasure(ClusterDescription cluster_description) | kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure | |
kddml::Core::DataMining::Clustering::CentroidBasedComparisonMeasure::compare(ClusterManager cluster, Instance instance) | kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure | |
evaluate(double[] x) | kddml.Core.DataMining.Clustering.BINARY_SIMILARITY | [protected, virtual] |
getAttributeComparisonMeasure() | kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure | |
getFunctionName() | kddml.Core.DataMining.Clustering.BINARY_SIMILARITY | [virtual] |
isCentroidBased() | kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure | [virtual] |
isSimilarityMeasure() | kddml.Core.DataMining.Clustering.BINARY_SIMILARITY | [virtual] |
toString() | kddml.Core.DataMining.Clustering.ComparisonMeasure | |
toXML() | kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure | [protected, virtual] |