See: Description
Class | Description |
---|---|
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 | Description |
---|---|
KMeans.InitType |
Exception | Description |
---|---|
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.
|
Currentely, the following clustering algorithms are implemneted:
SingleLinkageTreeBuilder
CompleteLinkageTreeBuilder
WardsLinkageTreeBuilder