org.deeplearning4j.clustering.cluster

Class ClusterSet

java.lang.Object

org.deeplearning4j.clustering.cluster.ClusterSet

All Implemented Interfaces:

java.io.Serializable

public class ClusterSet
extends java.lang.Object
implements java.io.Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ClusterSet()
ClusterSet(java.lang.String distanceFunction)

Method Summary

Modifier and Type	Method and Description
Cluster	addNewClusterWithCenter(Point center)
PointClassification	classifyPoint(Point point)
PointClassification	classifyPoint(Point point, boolean moveClusterCenter)
void	classifyPoints(java.util.List<Point> points)
void	classifyPoints(java.util.List<Point> points, boolean moveClusterCenter)
java.lang.String	getAccumulation()
Cluster	getCluster(java.lang.String id)
Point	getClusterCenter(java.lang.String clusterId)
java.lang.String	getClusterCenterId(java.lang.String clusterId)
int	getClusterCount()
java.util.List<Cluster>	getClusters()
double	getDistance(Point m1, Point m2)
double	getDistanceFromNearestCluster(Point point)
java.util.List<Cluster>	getMostPopulatedClusters(int count)
java.util.Map<java.lang.String,java.lang.String>	getPointDistribution()
Pair<Cluster,java.lang.Double>	nearestCluster(Point point)
java.util.List<Cluster>	removeEmptyClusters()
void	removePoints()
void	setAccumulation(java.lang.String distanceFunction)
void	setClusters(java.util.List<Cluster> clusters)
void	setPointDistribution(java.util.Map<java.lang.String,java.lang.String> pointDistribution)

Methods inherited from class java.lang.Object

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

Constructor Detail

ClusterSet

public ClusterSet()

ClusterSet

public ClusterSet(java.lang.String distanceFunction)

Method Detail

addNewClusterWithCenter

public Cluster addNewClusterWithCenter(Point center)

classifyPoint

public PointClassification classifyPoint(Point point)

classifyPoints

public void classifyPoints(java.util.List<Point> points)

classifyPoints

public void classifyPoints(java.util.List<Point> points,
                           boolean moveClusterCenter)

classifyPoint

public PointClassification classifyPoint(Point point,
                                         boolean moveClusterCenter)

nearestCluster

public Pair<Cluster,java.lang.Double> nearestCluster(Point point)

getDistance

public double getDistance(Point m1,
                          Point m2)

getDistanceFromNearestCluster

public double getDistanceFromNearestCluster(Point point)

getClusterCenterId

public java.lang.String getClusterCenterId(java.lang.String clusterId)

getClusterCenter

public Point getClusterCenter(java.lang.String clusterId)

getCluster

public Cluster getCluster(java.lang.String id)

getClusterCount

public int getClusterCount()

removePoints

public void removePoints()

getMostPopulatedClusters

public java.util.List<Cluster> getMostPopulatedClusters(int count)

removeEmptyClusters

public java.util.List<Cluster> removeEmptyClusters()

getClusters

public java.util.List<Cluster> getClusters()

setClusters

public void setClusters(java.util.List<Cluster> clusters)

getAccumulation

public java.lang.String getAccumulation()

setAccumulation

public void setAccumulation(java.lang.String distanceFunction)

getPointDistribution

public java.util.Map<java.lang.String,java.lang.String> getPointDistribution()

setPointDistribution

public void setPointDistribution(java.util.Map<java.lang.String,java.lang.String> pointDistribution)