de.lmu.ifi.dbs.elki.evaluation.clustering.internal

Class EvaluateDBCV<O>

java.lang.Object

de.lmu.ifi.dbs.elki.evaluation.clustering.internal.EvaluateDBCV<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Evaluator, ResultProcessor

@Reference(authors="Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, J\u00f6rg Sander",
           title="Density-Based Clustering Validation",
           booktitle="Proc. 14th SIAM International Conference on Data Mining (SDM)",
           url="https://doi.org/10.1137/1.9781611973440.96",
           bibkey="DBLP:conf/sdm/MoulaviJCZS14")
public class EvaluateDBCV<O>
extends java.lang.Object
implements Evaluator

Compute the Density-Based Clustering Validation Index.

Reference:

Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
Density-Based Clustering Validation
In: Proc. 14th SIAM International Conference on Data Mining (SDM).

Since:

0.7.5

Author:

Stephan Baier

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	EvaluateDBCV.Parameterizer<O> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private DistanceFunction<? super O>	distanceFunction Distance function to use.

Constructor Summary

Constructors

Constructor and Description
EvaluateDBCV(DistanceFunction<? super O> distance) Constructor.

Method Summary

Modifier and Type	Method and Description
double	evaluateClustering(Database db, Relation<O> rel, Clustering<?> cl) Evaluate a single clustering.
void	processNewResult(ResultHierarchy hier, Result newResult) Process a result.

Methods inherited from class java.lang.Object

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

Field Detail

distanceFunction

private DistanceFunction<? super O> distanceFunction

Distance function to use.

Constructor Detail

EvaluateDBCV

public EvaluateDBCV(DistanceFunction<? super O> distance)

Constructor.

Parameters:

distance - Distance function

Method Detail

evaluateClustering

public double evaluateClustering(Database db,
                                 Relation<O> rel,
                                 Clustering<?> cl)

Evaluate a single clustering.

Parameters:

db - Database

rel - Data relation

cl - Clustering

Returns:

dbcv DBCV-index

processNewResult

public void processNewResult(ResultHierarchy hier,
                             Result newResult)

Description copied from interface: ResultProcessor

Process a result.

Specified by:

processNewResult in interface ResultProcessor

Parameters:

hier - The base of the result tree.

newResult - Newly added result subtree.