Package at.tuwien.ifs.somtoolbox.visualization.clustering

Contains classes implementing clustering methods on the SOM.

See:
Description

Class Summary

AbstractWardsLinkageTreeBuilder
BorderPNode	Stores all the border lines for one cluster.
Cluster	A Cluster used in KMeans clustering.
ClusterElementsStorage	A container to store borders and labels of one level of a clustering
ClusterEquivalence
ClusteringTree	Class for storing the clustering.
ClusterLabel	Extends the Label class with an additional value for sorting to determine the order of the labels.
ClusterNode	Class containing one node in the cluster tree.
ColoredClusterPNode	Class used to paint the clusters on the map.
CompleteLinkageTreeBuilder	Complete Linkage Clustering Algorithm.
Covariance
KMeans	Pretty much the classic K-Means clustering.
KMeansTreeBuilder	Builds a cluster tree using K-Means.
LabelCoordinates
LabelPositioning	Methods for positioning the label inside a cluster.
NodeDistance	Used to store a distance between two clusters.
NonHierarchicalTreeBuilder	This is an abstract class for non-hierarchical tree builders, which need to build a new clustering tree for each level.
SingleLinkageTreeBuilder	Single Linkage Clustering Algorithm.
TreeBuilder	Superclass providing aborting and status monitoring functionality for the clustering algorithms.
UnitKMeans
WardsLinkageTreeBuilder	Adaption of the Ward's Linkage Clustering Algorithm.
WardsLinkageTreeBuilderAll	Class to create Clustering trees with the Ward's Linkage algorithm.

Enum Summary

KMeans.InitType

Exception Summary

ClusteringAbortedException	Is thrown when the user has aborted the running clustering algorithm.
MoreCentresThanKException	In case anyone dares to set more centres for a K-Means guy -- that's what you're gonna get.

Package at.tuwien.ifs.somtoolbox.visualization.clustering Description

Contains classes implementing clustering methods on the SOM.

Currentely, the following clustering algorithms are implemneted:

• Single Linkage: SingleLinkageTreeBuilder
• Complete Linkage: CompleteLinkageTreeBuilder
• Wards Clustering: WardsLinkageTreeBuilder

See Also:

SingleLinkageTreeBuilder, CompleteLinkageTreeBuilder, WardsLinkageTreeBuilder