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See:
Description
Class Summary | |
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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 | |
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KMeans.InitType |
Exception Summary | |
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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. |
Contains classes implementing clustering methods on the SOM.
Currentely, the following clustering algorithms are implemneted:
SingleLinkageTreeBuilder
CompleteLinkageTreeBuilder
WardsLinkageTreeBuilder
SingleLinkageTreeBuilder
,
CompleteLinkageTreeBuilder
,
WardsLinkageTreeBuilder
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