Package org.neo4j.gds.kmeans

Class KmeansPlusPlusSampler

java.lang.Object

org.neo4j.gds.kmeans.KmeansSampler

org.neo4j.gds.kmeans.KmeansPlusPlusSampler

public class KmeansPlusPlusSampler
extends KmeansSampler

Nested Class Summary

Nested classes/interfaces inherited from class org.neo4j.gds.kmeans.KmeansSampler

KmeansSampler.SamplerType

Constructor Summary

Constructors

Constructor

Description

KmeansPlusPlusSampler(java.util.SplittableRandom random, org.neo4j.gds.kmeans.ClusterManager clusterManager, long nodeCount, int k, org.neo4j.gds.api.properties.nodes.NodePropertyValues nodePropertyValues, org.neo4j.gds.core.utils.paged.HugeDoubleArray distanceFromClosestCentroid, int concurrency, java.util.concurrent.ExecutorService executorService, java.util.List<KmeansTask> tasks, org.neo4j.gds.core.utils.progress.tasks.ProgressTracker progressTracker)

Method Summary

Modifier and Type	Method	Description
void	performInitialSampling()

Methods inherited from class org.neo4j.gds.kmeans.KmeansSampler

createSampler

Methods inherited from class java.lang.Object

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

Constructor Detail

KmeansPlusPlusSampler

public KmeansPlusPlusSampler(java.util.SplittableRandom random,
                             org.neo4j.gds.kmeans.ClusterManager clusterManager,
                             long nodeCount,
                             int k,
                             org.neo4j.gds.api.properties.nodes.NodePropertyValues nodePropertyValues,
                             org.neo4j.gds.core.utils.paged.HugeDoubleArray distanceFromClosestCentroid,
                             int concurrency,
                             java.util.concurrent.ExecutorService executorService,
                             java.util.List<KmeansTask> tasks,
                             org.neo4j.gds.core.utils.progress.tasks.ProgressTracker progressTracker)

Method Detail

performInitialSampling

public void performInitialSampling()

Specified by:

performInitialSampling in class KmeansSampler