de.lmu.ifi.dbs.elki.data

Class Clustering<M extends Model>

java.lang.Object

de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult

de.lmu.ifi.dbs.elki.result.BasicResult

de.lmu.ifi.dbs.elki.data.Clustering<M>

Type Parameters:

M - Model type

All Implemented Interfaces:

HierarchicalResult, Result

public class Clustering<M extends Model>
extends BasicResult

Result class for clusterings. Can be used for both hierarchical and non-hierarchical clusterings. The class does not enforce or rely on clusterings to be a tree or DAG, instead they can be an arbitrary forest of directed graphs that COULD contain cycles. This class is NOT iterable for a simple reason: there is more than one method to do so. You need to specify whether you want to use getToplevelClusters() or getAllClusters().

Field Summary

Fields

Modifier and Type	Field and Description
private List<Cluster<M>>	toplevelclusters Keep a list of top level clusters.

Constructor Summary

Constructors

Constructor and Description
Clustering(String name, String shortname) Constructor for an empty clustering
Clustering(String name, String shortname, List<Cluster<M>> toplevelclusters) Constructor with a list of top level clusters

Method Summary

Methods

Modifier and Type	Method and Description
void	addCluster(Cluster<M> n) Add a cluster to the clustering.
List<Cluster<M>>	getAllClusters() Collect all clusters (recursively) into a List.
List<Cluster<M>>	getToplevelClusters() Return top level clusters

Methods inherited from class de.lmu.ifi.dbs.elki.result.BasicResult

getLongName, getShortName

Methods inherited from class de.lmu.ifi.dbs.elki.result.AbstractHierarchicalResult

addChildResult, getHierarchy, setHierarchy

Methods inherited from class java.lang.Object

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

Field Detail

toplevelclusters

private List<Cluster<M extends Model>> toplevelclusters

Keep a list of top level clusters.

Constructor Detail

Clustering

public Clustering(String name,
          String shortname,
          List<Cluster<M>> toplevelclusters)

Constructor with a list of top level clusters

Parameters:

name - The long name (for pretty printing)

shortname - the short name (for filenames etc.)

toplevelclusters - Top level clusters

Clustering

public Clustering(String name,
          String shortname)

Constructor for an empty clustering

Parameters:

name - The long name (for pretty printing)

shortname - the short name (for filenames etc.)

Method Detail

addCluster

public void addCluster(Cluster<M> n)

Add a cluster to the clustering.

Parameters:

n - new cluster

getToplevelClusters

public List<Cluster<M>> getToplevelClusters()

Return top level clusters

Returns:

top level clusters

getAllClusters

public List<Cluster<M>> getAllClusters()

Collect all clusters (recursively) into a List.

Returns:

List of all clusters.