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

Class ByLabelHierarchicalClustering

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<Clustering<Model>>

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

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<Clustering<Model>>

@Title(value="Hierarchical clustering by label")
@Description(value="Cluster points by a (pre-assigned!) label. For comparing results with a reference clustering.")
public class ByLabelHierarchicalClustering
extends AbstractAlgorithm<Clustering<Model>>
implements ClusteringAlgorithm<Clustering<Model>>

Pseudo clustering using labels. This "algorithm" puts elements into the same cluster when they agree in their labels. I.e. it just uses a predefined clustering, and is mostly useful for testing and evaluation (e.g. comparing the result of a real algorithm to a reference result / golden standard). This variant derives a hierarchical result by doing a prefix comparison on labels. TODO: Noise handling (e.g. allow the user to specify a noise label pattern?)

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG The logger for this class.

Constructor Summary

Constructors

Constructor and Description
ByLabelHierarchicalClustering() Constructor without parameters

Method Summary

Methods

Modifier and Type	Method and Description
private void	assign(HashMap<String,DBIDs> labelMap, String label, DBIDRef id) Assigns the specified id to the labelMap according to its label
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
Clustering<Model>	run(Database database) Runs the algorithm.
Clustering<Model>	run(Relation<?> relation) Run the actual clustering algorithm.

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

makeParameterDistanceFunction

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

The logger for this class.

Constructor Detail

ByLabelHierarchicalClustering

public ByLabelHierarchicalClustering()

Constructor without parameters

Method Detail

run

public Clustering<Model> run(Database database)

Description copied from interface: Algorithm

Runs the algorithm.

Specified by:

run in interface Algorithm

Specified by:

run in interface ClusteringAlgorithm<Clustering<Model>>

Overrides:

run in class AbstractAlgorithm<Clustering<Model>>

Parameters:

database - the database to run the algorithm on

Returns:

the Result computed by this algorithm

run

public Clustering<Model> run(Relation<?> relation)

Run the actual clustering algorithm.

Parameters:

relation - The data input to use

assign

private void assign(HashMap<String,DBIDs> labelMap,
          String label,
          DBIDRef id)

Assigns the specified id to the labelMap according to its label

Parameters:

labelMap - the mapping of label to ids

label - the label of the object to be assigned

id - the id of the object to be assigned

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<Clustering<Model>>

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<Clustering<Model>>

Returns:

the static logger