Package | Description |
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at.tuwien.ifs.somtoolbox.visualization.clustering |
Contains classes implementing clustering methods on the SOM.
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at.tuwien.ifs.somtoolbox.visualization.comparison |
Modifier and Type | Method and Description |
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double |
LabelCoordinates.distance(LabelCoordinates other)
Calculate euclidean distance between this point and the other point
|
Modifier and Type | Field and Description |
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private LabelCoordinates[] |
SOMComparison.coords1 |
private LabelCoordinates[] |
SOMComparison.coords2 |
Modifier and Type | Method and Description |
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private LabelCoordinates |
SOMComparison.getClusterMeanPoint(int[][] assignment,
int y,
int x,
GrowingSOM gsom)
Try to find a mean-point for a cluster
|
static LabelCoordinates[] |
SOMComparison.getLabelCoordinates(GrowingSOM gsom) |
Modifier and Type | Method and Description |
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static double[][] |
SOMComparison.calculcateIntraSOMClusterDistanceMatrix(LabelCoordinates[] coords,
int[][] secSOMClusterAssignment,
int clusterNo,
double[][] distances)
Calculate the cluster distance matrix for all mapped vectors from the information where the inputs are mapped
|
static double[][] |
SOMComparison.calculcateIntraSOMDistanceMatrix(LabelCoordinates[] coords)
Calculate the distance matrix for all mapped vectors from the information where the inputs are mapped
|
int[] |
SOMComparison.clusterEquivalent(int[][] assignment1,
int[][] assignment2,
LabelCoordinates[] coords1,
LabelCoordinates[] coords2,
int numberOfClusters,
double[] percentages) |
int[] |
SOMComparison.clusterEquivalent(int[][] assignment1,
int[][] assignment2,
LabelCoordinates[] coords1,
LabelCoordinates[] coords2,
int numberOfClusters,
double[] percentages) |