de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Class PROCLUS.PROCLUSCluster

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS.PROCLUSCluster

Enclosing class:

PROCLUS<V extends NumberVector<V,?>>

private class PROCLUS.PROCLUSCluster
extends Object

Encapsulates the attributes of a cluster.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) V	centroid The centroids of this cluster along each dimension.
(package private) Set<Integer>	dimensions The correlated dimensions of this cluster.
(package private) ModifiableDBIDs	objectIDs The ids of the objects belonging to this cluster.

Constructor Summary

Constructors

Constructor and Description
PROCLUS.PROCLUSCluster(ModifiableDBIDs objectIDs, Set<Integer> dimensions, V centroid) Provides a new cluster with the specified parameters.

Method Summary

Methods

Modifier and Type	Method and Description
BitSet	getDimensions() Returns the correlated dimensions of this cluster as BitSet.
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

objectIDs

ModifiableDBIDs objectIDs

The ids of the objects belonging to this cluster.

dimensions

Set<Integer> dimensions

The correlated dimensions of this cluster.

centroid

V extends NumberVector<V,?> centroid

The centroids of this cluster along each dimension.

Constructor Detail

PROCLUS.PROCLUSCluster

public PROCLUS.PROCLUSCluster(ModifiableDBIDs objectIDs,
                      Set<Integer> dimensions,
                      V centroid)

Provides a new cluster with the specified parameters.

Parameters:

objectIDs - the ids of the objects belonging to this cluster

dimensions - the correlated dimensions of this cluster

centroid - the centroid of this cluster

Method Detail

toString

public String toString()

Overrides:

toString in class Object

getDimensions

public BitSet getDimensions()

Returns the correlated dimensions of this cluster as BitSet.

Returns:

the correlated dimensions of this cluster as BitSet