Package | Description |
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at.tuwien.ifs.somtoolbox.clustering.functions | |
at.tuwien.ifs.somtoolbox.layers |
Provides the basic classes constituting SOM-based neural networks.
|
at.tuwien.ifs.somtoolbox.visualization |
Provides classes creating visualisations of trained SOMs.
|
Modifier and Type | Method and Description |
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ComponentLine2D |
ComponentLine2DDistance.meanObject(Cluster<? extends ComponentLine2D> elements) |
Modifier and Type | Method and Description |
---|---|
static ClusterElementFunctions<ComponentLine2D> |
ComponentLine2DDistance.getEuclidean() |
Modifier and Type | Method and Description |
---|---|
double |
ComponentLine2DDistance.distance(ComponentLine2D line1,
ComponentLine2D line2) |
Modifier and Type | Method and Description |
---|---|
int |
ComponentLine2DDistance.getIndexOfLineClosestToMean(Cluster<? extends ComponentLine2D> elements) |
ComponentLine2D |
ComponentLine2DDistance.meanObject(Cluster<? extends ComponentLine2D> elements) |
String |
ComponentLine2DDistance.toString(Cluster<? extends ComponentLine2D> elements) |
Modifier and Type | Method and Description |
---|---|
ArrayList<ComponentLine2D> |
GrowingLayer.getBinCentresAsList(int bins) |
Modifier and Type | Field and Description |
---|---|
private LeastRecentlyUsedCache<ClusterElementFunctions<ComponentLine2D>,WardClustering<ComponentLine2D>> |
MetroMapVisualizer.clusterCache |
private LeastRecentlyUsedCache<ClusterElementFunctions<ComponentLine2D>,WardClustering<ComponentLine2D>> |
MetroMapVisualizer.clusterCache |
private List<? extends Cluster<ComponentLine2D>> |
MetroMapVisualizer.clusters |
Modifier and Type | Method and Description |
---|---|
private Point2D[][] |
MetroMapVisualizer.doAggregation(ArrayList<ComponentLine2D> binCentresAsList,
GrowingLayer layer)
Clustering of metro lines is done in here (i.e.
|
private void |
MetroMapVisualizer.MetroMapControlPanel.initLegendTableAfterAggregation(List<? extends Cluster<ComponentLine2D>> clusters) |