Package com.evolveum.midpoint.model.impl.mining.algorithm.cluster.mechanism

Class Clusterer<T extends Clusterable>

java.lang.Object

com.evolveum.midpoint.model.impl.mining.algorithm.cluster.mechanism.Clusterer<T>

Direct Known Subclasses:

DensityBasedClustering

public abstract class Clusterer<T extends Clusterable>
extends Object

An abstract base class for role analysis clustering data points of a specific type using a distance measure. Subclasses are responsible for implementing the actual clustering logic for a given data type.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Clusterer(DistanceMeasure measure)

Method Summary

Modifier and Type	Method	Description
protected double	accessDistance(@NotNull Clusterable p1, @NotNull Clusterable p2)
abstract List<? extends Cluster<T>>	cluster(Collection<T> var1, RoleAnalysisProgressIncrement handler)
protected double	rulesDistance(@NotNull ExtensionProperties p1, @NotNull ExtensionProperties p2, @NotNull Set<ClusterExplanation> explanation)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Clusterer

protected Clusterer(DistanceMeasure measure)

Method Details

cluster

public abstract List<? extends Cluster<T>> cluster(Collection<T> var1,
 RoleAnalysisProgressIncrement handler)

accessDistance

protected double accessDistance(@NotNull
 @NotNull Clusterable p1,
 @NotNull
 @NotNull Clusterable p2)

rulesDistance

protected double rulesDistance(@NotNull
 @NotNull ExtensionProperties p1,
 @NotNull
 @NotNull ExtensionProperties p2,
 @NotNull
 @NotNull Set<ClusterExplanation> explanation)