Package elki.clustering.kmedoids

Class EagerPAM<O>

java.lang.Object

elki.clustering.kmedoids.PAM<O>

elki.clustering.kmedoids.EagerPAM<O>

Type Parameters:

O - object datatype

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<Clustering<MedoidModel>>, KMedoidsClustering<O>

@Priority(-100)
@Reference(authors="R. A. Whitaker",title="A Fast Algorithm For The Greedy Interchange For Large-Scale Clustering And Median Location Problems",booktitle="INFOR: Information Systems and Operational Research 21(2)",url="https://doi.org/10.1080/03155986.1983.11731889",bibkey="doi:10.1080/03155986.1983.11731889") @Reference(authors="V. Estivill-Castro and A. T. Murray",title="Discovering Associations in Spatial Data - An Efficient Medoid Based Approach",booktitle="Proc. 2nd Pacific-Asia Conf. on Research and Development in Knowledge Discovery and Data Mining, PAKDD-98",url="https://doi.org/10.1007/3-540-64383-4_10",bibkey="DBLP:conf/pakdd/Estivill-CastroM98")
public class EagerPAM<O>
extends PAM<O>

Variation of PAM that eagerly performs all swaps that yield an improvement during an iteration. This has been used as early as in Whitaker's "fast interchange" heuristic, and constitutes a variant of the "local hill-climbing" approach considered by Estivill-Castro.

Reference:

R. A. Whitaker
A Fast Algorithm For The Greedy Interchange For Large-Scale Clustering And Median Location Problems
INFOR: Information Systems and Operational Research 21(2)

V. Estivill-Castro and A. T. Murray
Discovering Associations in Spatial Data - An Efficient Medoid Based Approach
Proc. 2nd Pacific-Asia Conf. on Research and Development in Knowledge Discovery and Data Mining, PAKDD-98

Since:

0.8.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
protected static class	EagerPAM.Instance	Instance for a single dataset.
static class	EagerPAM.Par<O>	Parameterization class.

Nested classes/interfaces inherited from interface elki.Algorithm

Algorithm.Utils

Field Summary

Fields

Modifier and Type	Field	Description
private static java.lang.String	KEY	Key for loggers.
private static Logging	LOG	The logger for this class.

Fields inherited from class elki.clustering.kmedoids.PAM

distance, initializer, k, maxiter

Constructor Summary

Constructors

Constructor	Description
EagerPAM(Distance<? super O> distance, int k, int maxiter, KMedoidsInitialization<O> initializer)	Constructor.

Method Summary

Modifier and Type	Method	Description
protected Logging	getLogger()	Get the static class logger.
Clustering<MedoidModel>	run(Relation<O> relation, int k, DistanceQuery<? super O> distQ)	Run k-medoids clustering with a given distance query. Not a very elegant API, but needed for some types of nested k-medoids.

Methods inherited from class elki.clustering.kmedoids.PAM

getInputTypeRestriction, initialMedoids, run, wrapResult

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.clustering.ClusteringAlgorithm

autorun

Field Detail

LOG

private static final Logging LOG

The logger for this class.

KEY

private static final java.lang.String KEY

Key for loggers.

Constructor Detail

EagerPAM

public EagerPAM(Distance<? super O> distance,
                int k,
                int maxiter,
                KMedoidsInitialization<O> initializer)

Constructor.

Parameters:

distance - distance function

k - k parameter

maxiter - Maxiter parameter

initializer - Function to generate the initial means

Method Detail

run

public Clustering<MedoidModel> run(Relation<O> relation,
                                   int k,
                                   DistanceQuery<? super O> distQ)

Description copied from interface: KMedoidsClustering

Run k-medoids clustering with a given distance query.
Not a very elegant API, but needed for some types of nested k-medoids.

Specified by:

run in interface KMedoidsClustering<O>

Overrides:

run in class PAM<O>

Parameters:

relation - relation to use

k - Number of clusters

distQ - Distance query to use

Returns:

result

getLogger

protected Logging getLogger()

Get the static class logger.

Overrides:

getLogger in class PAM<O>