org.deeplearning4j.clustering

Class ClusterSet

java.lang.Object

org.deeplearning4j.clustering.ClusterSet

public class ClusterSet
extends Object

Constructor Summary

Constructors

Constructor and Description
ClusterSet()
ClusterSet(Class<? extends org.nd4j.linalg.api.ops.Accumulation> distanceFunction)
ClusterSet(org.nd4j.linalg.api.ndarray.INDArray centers)

Method Summary

Modifier and Type	Method and Description
void	addNewClusterWithCenter(org.nd4j.linalg.api.ndarray.INDArray center)
void	addPoint(org.nd4j.linalg.api.ndarray.INDArray point)
void	addPoint(org.nd4j.linalg.api.ndarray.INDArray point, boolean moveClusterCenter)
void	addPoints(List<org.nd4j.linalg.api.ndarray.INDArray> points)
void	addPoints(List<org.nd4j.linalg.api.ndarray.INDArray> points, boolean moveClusterCenter)
Cluster	classify(org.nd4j.linalg.api.ndarray.INDArray point)
Cluster	classify(org.nd4j.linalg.api.ndarray.INDArray point, Class<? extends org.nd4j.linalg.api.ops.Accumulation> distanceFunction)
org.nd4j.linalg.api.ndarray.INDArray	getCenters()
int	getClusterCount()
List<Cluster>	getClusters()
double	getDistanceFromNearestCluster(org.nd4j.linalg.api.ndarray.INDArray point)
Class<? extends org.nd4j.linalg.api.ops.Accumulation>	getDistanceFunction()
protected Cluster	nearestCluster(org.nd4j.linalg.api.ndarray.INDArray point)
void	removePoints()
void	setClusters(List<Cluster> clusters)
void	setDistanceFunction(Class<? extends org.nd4j.linalg.api.ops.Accumulation> distanceFunction)

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(org.nd4j.linalg.api.ndarray.INDArray centers)

ClusterSet

public ClusterSet(Class<? extends org.nd4j.linalg.api.ops.Accumulation> distanceFunction)

Method Detail

addNewClusterWithCenter

public void addNewClusterWithCenter(org.nd4j.linalg.api.ndarray.INDArray center)

getCenters

public org.nd4j.linalg.api.ndarray.INDArray getCenters()

addPoint

public void addPoint(org.nd4j.linalg.api.ndarray.INDArray point)

addPoint

public void addPoint(org.nd4j.linalg.api.ndarray.INDArray point,
                     boolean moveClusterCenter)

addPoints

public void addPoints(List<org.nd4j.linalg.api.ndarray.INDArray> points)

addPoints

public void addPoints(List<org.nd4j.linalg.api.ndarray.INDArray> points,
                      boolean moveClusterCenter)

classify

public Cluster classify(org.nd4j.linalg.api.ndarray.INDArray point)

classify

public Cluster classify(org.nd4j.linalg.api.ndarray.INDArray point,
                        Class<? extends org.nd4j.linalg.api.ops.Accumulation> distanceFunction)

nearestCluster

protected Cluster nearestCluster(org.nd4j.linalg.api.ndarray.INDArray point)

getDistanceFromNearestCluster

public double getDistanceFromNearestCluster(org.nd4j.linalg.api.ndarray.INDArray point)

getClusterCount

public int getClusterCount()

removePoints

public void removePoints()

getClusters

public List<Cluster> getClusters()

setClusters

public void setClusters(List<Cluster> clusters)

getDistanceFunction

public Class<? extends org.nd4j.linalg.api.ops.Accumulation> getDistanceFunction()

setDistanceFunction

public void setDistanceFunction(Class<? extends org.nd4j.linalg.api.ops.Accumulation> distanceFunction)