Uses of Enum
de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers.clustermerge.ClusterDistance
Package
Description
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Uses of ClusterDistance in de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers
Modifier and TypeFieldDescriptionprivate ClusterDistance
MultiSourceDispatcherIncrementalMergeByCluster.distance
The cluster distance like euclidean (the default) etc.Modifier and TypeMethodDescriptionvoid
MultiSourceDispatcherIncrementalMergeByCluster.setDistance
(ClusterDistance distance) ModifierConstructorDescriptionMultiSourceDispatcherIncrementalMergeByCluster
(Object oneToOneMatcher, ClusterLinkage linkage, ClusterDistance distance) MultiSourceDispatcherIncrementalMergeByCluster
(Object oneToOneMatcher, ClusterLinkage linkage, ClusterDistance distance, Clusterer clusterer) MultiSourceDispatcherIncrementalMergeByCluster
(Supplier<Object> matcherSupplier, ClusterLinkage linkage, ClusterDistance distance) MultiSourceDispatcherIncrementalMergeByCluster
(Supplier<Object> matcherSupplier, ClusterLinkage linkage, ClusterDistance distance, Clusterer clusterer) -
Uses of ClusterDistance in de.uni_mannheim.informatik.dws.melt.matching_jena_matchers.multisource.dispatchers.clustermerge
Modifier and TypeMethodDescriptionstatic ClusterDistance
Returns the enum constant of this type with the specified name.static ClusterDistance[]
ClusterDistance.values()
Returns an array containing the constants of this enum type, in the order they are declared.Modifier and TypeMethodDescriptionprivate de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction<de.lmu.ifi.dbs.elki.data.NumberVector>
ClustererELKI.getDistance
(ClusterDistance linkage) float[]
ClustererSmile.getProximity
(double[][] features, ClusterDistance distance) Calculates the proximity which is the lower triangular part of the distance matrix.private static smile.math.distance.Distance<double[]>
ClustererSmile.getSmileDistanceFunction
(ClusterDistance distance) static float[]
ClustererSmile.proximity
(double[][] data, ClusterDistance clusterDistance) static float[]
ClustererSmile.proximityParallel
(double[][] data, ClusterDistance clusterDistance) Clusterer.run
(double[][] features, ClusterLinkage linkage, ClusterDistance distance) ClustererELKI.run
(double[][] features, ClusterLinkage linkage, ClusterDistance distance) ClustererSmile.run
(double[][] features, ClusterLinkage linkage, ClusterDistance distance)