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(@NotNull DistanceMeasure measure, @NotNull ClusteringMode clusteringMode)

Method Summary

Modifier and Type	Method	Description
protected double	balancedAccessDistance(@NotNull Clusterable p1, @NotNull Clusterable p2)
abstract List<? extends Cluster<T>>	cluster(Collection<T> var1, RoleAnalysisProgressIncrement handler)
List<T>	getNeighbors(T point, Collection<T> points, Set<ClusterExplanation> explanation, double eps, int minPts, int minPropertiesOverlap, com.evolveum.midpoint.model.impl.mining.algorithm.cluster.mechanism.DensityBasedClustering.PointStatusWrapper pStatusWrapper)
protected boolean	outlierAccessDistance(@NotNull Clusterable p1, @NotNull Clusterable p2, double minSimilarity, double maxOffset)
protected double	rulesDistance(@NotNull ExtensionProperties p1, @NotNull ExtensionProperties p2, @NotNull Set<ClusterExplanation> explanation)
protected double	unbalancedAccessDistance(@NotNull Clusterable p1, @NotNull Clusterable p2)

Methods inherited from class java.lang.Object

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

Constructor Details

Clusterer

protected Clusterer(@NotNull
 @NotNull DistanceMeasure measure,
 @NotNull
 @NotNull ClusteringMode clusteringMode)

Method Details

cluster

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

getNeighbors

public List<T> getNeighbors(@NotNull
 T point,
 Collection<T> points,
 Set<ClusterExplanation> explanation,
 double eps,
 int minPts,
 int minPropertiesOverlap,
 com.evolveum.midpoint.model.impl.mining.algorithm.cluster.mechanism.DensityBasedClustering.PointStatusWrapper pStatusWrapper)

unbalancedAccessDistance

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

balancedAccessDistance

protected double balancedAccessDistance(@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)

outlierAccessDistance

protected boolean outlierAccessDistance(@NotNull
 @NotNull Clusterable p1,
 @NotNull
 @NotNull Clusterable p2,
 double minSimilarity,
 double maxOffset)