Package kieker.analysis.generic.clustering

Class Clustering<T>

java.lang.Object
kieker.analysis.generic.clustering.Clustering<T>
Type Parameters:
T - The type of the data in the clusters
public class Clustering<T>
extends java.lang.Object
A type for the result of a clustering algorithm. One objects contains a set of clusters and a set of noise objects.
Since:
2.0.0
Author:
Lars Jürgensen

  • Constructor Summary

    Constructors 
    Constructor Description
    Clustering()  

  • Method Summary

    Modifier and Type Method Description
    void addCluster​(java.util.Set<T> cluster)  
    java.util.Set<java.util.Set<T>> getClusters()  
    java.util.Set<T> getNoise()  
    void setClusters​(java.util.Set<java.util.Set<T>> clusters)  
    void setNoise​(java.util.Set<T> noise)  

    Methods inherited from class java.lang.Object

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

  • Constructor Details

  • Method Details

    • getNoise

      public java.util.Set<T> getNoise()

    • setNoise

      public void setNoise​(java.util.Set<T> noise)

    • getClusters

      public java.util.Set<java.util.Set<T>> getClusters()

    • setClusters

      public void setClusters​(java.util.Set<java.util.Set<T>> clusters)

    • addCluster

      public void addCluster​(java.util.Set<T> cluster)