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

Class MiniMaxNNChain<O>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,PointerPrototypeHierarchyRepresentationResult>

de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.MiniMaxNNChain<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

Algorithm, HierarchicalClusteringAlgorithm, DistanceBasedAlgorithm<O>

@Reference(authors="F. Murtagh",title="A survey of recent advances in hierarchical clustering algorithms",booktitle="The Computer Journal 26(4)",url="https://doi.org/10.1093/comjnl/26.4.354",bibkey="DBLP:journals/cj/Murtagh83") @Reference(authors="D. M\u00fcllner",title="Modern hierarchical, agglomerative clustering algorithms",booktitle="arXiv preprint arXiv:1109.2378",url="https://arxiv.org/abs/1109.2378",bibkey="DBLP:journals/corr/abs-1109-2378")
public class MiniMaxNNChain<O>
extends AbstractDistanceBasedAlgorithm<O,PointerPrototypeHierarchyRepresentationResult>
implements HierarchicalClusteringAlgorithm

MiniMax hierarchical clustering using the NNchain algorithm.

Reference:

F. Murtagh
A survey of recent advances in hierarchical clustering algorithms
The Computer Journal 26(4)

D. Müllner
Modern hierarchical, agglomerative clustering algorithms
arXiv preprint arXiv:1109.2378

Since:

0.7.5

Author:

Julian Erhard, Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG Class logger.

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

ALGORITHM_ID

Fields inherited from interface de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

DISTANCE_FUNCTION_ID

Constructor Summary

Constructors

Constructor and Description
MiniMaxNNChain(DistanceFunction<? super O> distanceFunction) Constructor.

Method Summary

Modifier and Type	Method and Description
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
private void	nnChainCore(MatrixParadigm mat, DBIDArrayMIter prots, DistanceQuery<O> dq, PointerHierarchyRepresentationBuilder builder, it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters) Uses NNChain as in "Modern hierarchical, agglomerative clustering algorithms" by Daniel Müllner
PointerPrototypeHierarchyRepresentationResult	run(Database db, Relation<O> relation) Run the algorithm

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

getDistanceFunction

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

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.hierarchical.HierarchicalClusteringAlgorithm

run

Field Detail

LOG

private static final Logging LOG

Class logger.

Constructor Detail

MiniMaxNNChain

public MiniMaxNNChain(DistanceFunction<? super O> distanceFunction)

Constructor.

Parameters:

distanceFunction - Distance function

Method Detail

run

public PointerPrototypeHierarchyRepresentationResult run(Database db,
                                                         Relation<O> relation)

Run the algorithm

Parameters:

db - Database to run on

relation - Data relation

Returns:

Clustering result

nnChainCore

private void nnChainCore(MatrixParadigm mat,
                         DBIDArrayMIter prots,
                         DistanceQuery<O> dq,
                         PointerHierarchyRepresentationBuilder builder,
                         it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap<ModifiableDBIDs> clusters)

Uses NNChain as in "Modern hierarchical, agglomerative clustering algorithms" by Daniel Müllner

Parameters:

mat - distance matrix

prots - computed prototypes

dq - distance query of the data set

builder - Result builder

clusters - current clusters

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<PointerPrototypeHierarchyRepresentationResult>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<PointerPrototypeHierarchyRepresentationResult>

Returns:

the static logger