Package com.evolveum.midpoint.common.mining.objects.statistic

Class ClusterStatistic

java.lang.Object

com.evolveum.midpoint.common.mining.objects.statistic.ClusterStatistic

All Implemented Interfaces:

Serializable

public class ClusterStatistic
extends Object
implements Serializable

The `ClusterStatistic` class provides statistics for a clustering operation, such as the number of members, properties, and various measures related to the clustered data. It contains information about the members, properties, and other clustering-related metrics.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
ClusterStatistic(PolyStringType name, Set<ObjectReferenceType> membersRef, int membersCount, int propertiesCount, int minVectorPoint, int maxVectorPoint, double propertiesMean, double propertiesDensity)
ClusterStatistic(PolyStringType name, Set<ObjectReferenceType> propertiesRef, Set<ObjectReferenceType> membersRef, int membersCount, int propertiesCount, int minVectorPoint, int maxVectorPoint, double propertiesMean, double propertiesDensity)

Method Summary

Modifier and Type	Method	Description
int	getMaxVectorPoint()
int	getMembersCount()
Set<ObjectReferenceType>	getMembersRef()
int	getMinVectorPoint()
PolyStringType	getName()
int	getPropertiesCount()
double	getPropertiesDensity()
double	getPropertiesMean()
Set<ObjectReferenceType>	getPropertiesRef()
List<AttributeAnalysisStructure>	getRoleAttributeAnalysisStructures()
List<AttributeAnalysisStructure>	getUserAttributeAnalysisStructures()
void	setRoleAttributeAnalysisStructures(List<AttributeAnalysisStructure> roleAttributeAnalysisStructures)
void	setUserAttributeAnalysisStructures(List<AttributeAnalysisStructure> userAttributeAnalysisStructures)

Methods inherited from class java.lang.Object

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

Constructor Details

ClusterStatistic

public ClusterStatistic(PolyStringType name,
 Set<ObjectReferenceType> membersRef,
 int membersCount,
 int propertiesCount,
 int minVectorPoint,
 int maxVectorPoint,
 double propertiesMean,
 double propertiesDensity)

ClusterStatistic

public ClusterStatistic(PolyStringType name,
 Set<ObjectReferenceType> propertiesRef,
 Set<ObjectReferenceType> membersRef,
 int membersCount,
 int propertiesCount,
 int minVectorPoint,
 int maxVectorPoint,
 double propertiesMean,
 double propertiesDensity)

Method Details

getMembersCount

public int getMembersCount()

getPropertiesRef

public Set<ObjectReferenceType> getPropertiesRef()

getMembersRef

public Set<ObjectReferenceType> getMembersRef()

getPropertiesCount

public int getPropertiesCount()

getMinVectorPoint

public int getMinVectorPoint()

getMaxVectorPoint

public int getMaxVectorPoint()

getPropertiesMean

public double getPropertiesMean()

getPropertiesDensity

public double getPropertiesDensity()

getName

public PolyStringType getName()

getUserAttributeAnalysisStructures

public List<AttributeAnalysisStructure> getUserAttributeAnalysisStructures()

setUserAttributeAnalysisStructures

public void setUserAttributeAnalysisStructures(List<AttributeAnalysisStructure> userAttributeAnalysisStructures)

getRoleAttributeAnalysisStructures

public List<AttributeAnalysisStructure> getRoleAttributeAnalysisStructures()

setRoleAttributeAnalysisStructures

public void setRoleAttributeAnalysisStructures(List<AttributeAnalysisStructure> roleAttributeAnalysisStructures)