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

Class AbstractProjectedClustering<R extends Clustering<?>,V extends NumberVector<?>>

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R>

de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedClustering<R,V>

Type Parameters:

R - the result we return

V - the type of FeatureVector handled by this Algorithm

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<R>, Parameterizable

Direct Known Subclasses:

ORCLUS, PROCLUS

public abstract class AbstractProjectedClustering<R extends Clustering<?>,V extends NumberVector<?>>
extends AbstractAlgorithm<R>
implements ClusteringAlgorithm<R>

Abstract superclass for projected clustering algorithms, like PROCLUS and ORCLUS.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AbstractProjectedClustering.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private DistanceFunction<? super V,DoubleDistance>	distanceFunction The euclidean distance function.
protected int	k Holds the value of AbstractProjectedClustering.Parameterizer.K_ID.
protected int	k_i Holds the value of AbstractProjectedClustering.Parameterizer.K_I_ID.
protected int	l Holds the value of AbstractProjectedClustering.Parameterizer.L_ID.

Constructor Summary

Constructors

Constructor and Description
AbstractProjectedClustering(int k, int k_i, int l) Internal constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected DistanceFunction<? super V,DoubleDistance>	getDistanceFunction() Returns the distance function.
protected DistanceQuery<V,DoubleDistance>	getDistanceQuery(Database database) Returns the distance function.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

getInputTypeRestriction, getLogger, makeParameterDistanceFunction, run

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm

run

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

getInputTypeRestriction

Field Detail

k

protected int k

Holds the value of AbstractProjectedClustering.Parameterizer.K_ID.

k_i

protected int k_i

Holds the value of AbstractProjectedClustering.Parameterizer.K_I_ID.

l

protected int l

Holds the value of AbstractProjectedClustering.Parameterizer.L_ID.

distanceFunction

private DistanceFunction<? super V extends NumberVector<?>,DoubleDistance> distanceFunction

The euclidean distance function.

Constructor Detail

AbstractProjectedClustering

public AbstractProjectedClustering(int k,
                           int k_i,
                           int l)

Internal constructor.

Parameters:

k - K parameter

k_i - K_i parameter

l - L parameter

Method Detail

getDistanceFunction

protected DistanceFunction<? super V,DoubleDistance> getDistanceFunction()

Returns the distance function.

Returns:

the distance function

getDistanceQuery

protected DistanceQuery<V,DoubleDistance> getDistanceQuery(Database database)

Returns the distance function.

Returns:

the distance function