Package | Description |
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at.tuwien.ifs.somtoolbox.apps.viewer |
This package implements the SOMViewer application; main class is SOMViewer.java.
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at.tuwien.ifs.somtoolbox.layers.quality |
Classes in this package implement various quality measures, indicating the quality of the SOM mapping.
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at.tuwien.ifs.somtoolbox.reportgenerator | |
at.tuwien.ifs.somtoolbox.reportgenerator.output | |
at.tuwien.ifs.somtoolbox.visualization.clustering |
Contains classes implementing clustering methods on the SOM.
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at.tuwien.ifs.somtoolbox.visualization.comparison |
Class and Description |
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ClusterElementsStorage
A container to store borders and labels of one level of a clustering
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ClusteringAbortedException
Is thrown when the user has aborted the running clustering algorithm.
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ClusteringTree
Class for storing the clustering.
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TreeBuilder
Superclass providing aborting and status monitoring functionality for the clustering algorithms.
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Class and Description |
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ClusterNode
Class containing one node in the cluster tree.
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Class and Description |
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ClusteringTree
Class for storing the clustering.
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ClusterNode
Class containing one node in the cluster tree.
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Class and Description |
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ClusterNode
Class containing one node in the cluster tree.
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Class and Description |
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AbstractWardsLinkageTreeBuilder |
BorderPNode
Stores all the border lines for one cluster.
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Cluster
A Cluster used in KMeans clustering.
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ClusterElementsStorage
A container to store borders and labels of one level of a clustering
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ClusterEquivalence |
ClusteringAbortedException
Is thrown when the user has aborted the running clustering algorithm.
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ClusteringTree
Class for storing the clustering.
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ClusterLabel
Extends the Label class with an additional value for sorting to determine the order of the labels.
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ClusterNode
Class containing one node in the cluster tree.
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ColoredClusterPNode
Class used to paint the clusters on the map.
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KMeans
Pretty much the classic K-Means clustering.
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KMeans.InitType |
LabelCoordinates |
MoreCentresThanKException
In case anyone dares to set more centres for a K-Means guy -- that's what you're gonna get.
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NodeDistance
Used to store a distance between two clusters.
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NonHierarchicalTreeBuilder
This is an abstract class for non-hierarchical tree builders, which need to build a new clustering tree for each
level.
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TreeBuilder
Superclass providing aborting and status monitoring functionality for the clustering algorithms.
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Class and Description |
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ClusteringAbortedException
Is thrown when the user has aborted the running clustering algorithm.
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LabelCoordinates |