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Packages that use MetricException | |
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at.tuwien.ifs.somtoolbox.apps.analysis | |
at.tuwien.ifs.somtoolbox.data | Classes in this package implement reading, storing and providing of different data needed for the SOM, e.g. |
at.tuwien.ifs.somtoolbox.data.distance | |
at.tuwien.ifs.somtoolbox.layers | Provides the basic classes constituting SOM-based neural networks. |
at.tuwien.ifs.somtoolbox.layers.metrics | This package contains the metrics used for distance calculation during training and for mapping data onto maps. |
at.tuwien.ifs.somtoolbox.layers.quality | Classes in this package implement various quality measures, indicating the quality of the SOM mapping. |
at.tuwien.ifs.somtoolbox.util | Provides various helper classes. |
at.tuwien.ifs.somtoolbox.visualization | Provides classes creating visualisations of trained SOMs. |
at.tuwien.ifs.somtoolbox.visualization.clustering | Contains classes implementing clustering methods on the SOM. |
at.tuwien.ifs.somtoolbox.visualization.comparison |
Uses of MetricException in at.tuwien.ifs.somtoolbox.apps.analysis |
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Methods in at.tuwien.ifs.somtoolbox.apps.analysis that throw MetricException | |
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private void |
PlaylistAnalysis.analyse(File[] listFiles,
boolean rawVal)
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private void |
PlaylistAnalysis.analyse(File file,
boolean rawVal)
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private void |
PlaylistAnalysis.analyseDir(File file,
boolean rawVal)
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Uses of MetricException in at.tuwien.ifs.somtoolbox.data |
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Methods in at.tuwien.ifs.somtoolbox.data that throw MetricException | |
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InputDatum[] |
AbstractSOMLibSparseInputData.getByNameDistanceSorted(double[] vector,
Collection<String> inputNames,
DistanceMetric metric)
Retrieves the InputDatum corresponding to the given input names, and sorted by their distance to the
given vector. |
ArrayList<InputDistance> |
AbstractSOMLibSparseInputData.getDistances(int inputIndex,
DistanceMetric metric)
Returns the distances to the index of the given vector of the dataset. |
InputDatum[] |
AbstractSOMLibSparseInputData.getNearestN(double[] vector,
DistanceMetric metric,
int number)
Retrieves the given number of InputDatum that are closest to the given vector. |
InputDatum[] |
AbstractSOMLibSparseInputData.getNearestN(int inputIndex,
DistanceMetric metric,
int number)
Returns the n nearest input vectors for the index of the given vector of the dataset. |
InputDatum[] |
AbstractSOMLibSparseInputData.getNearestNUnsorted(int inputIndex,
DistanceMetric metric,
int number)
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void |
AbstractSOMLibSparseInputData.initDistanceMatrix(DistanceMetric metric)
Calculates the AbstractSOMLibSparseInputData.distanceMatrix - careful, this is a lengthy process and should be done only if needed. |
Uses of MetricException in at.tuwien.ifs.somtoolbox.data.distance |
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Methods in at.tuwien.ifs.somtoolbox.data.distance that throw MetricException | |
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static void |
DistanceMatrixWriter.writeOrangeFileInputVectorDistanceMatrix(InputData data,
String fileName,
DistanceMetric metric)
Write input distance matrix to an ASCII file for the Orange data mining toolkit ((http://www.ailab.si/orange/), computing distances on the fly. |
static void |
DistanceMatrixWriter.writePlainFileInputVectorDistanceMatrix(InputData data,
String fileName,
DistanceMetric metric)
Write input distance matrix to an ASCII file in plain format, computing distances on the fly. |
static void |
DistanceMatrixWriter.writeRandomAccessFileInputVectorDistanceMatrix(double[][] distances,
String fileName,
DistanceMetric metric)
Write pre-calculated input distance matrix to a binary file. |
static void |
DistanceMatrixWriter.writeRandomAccessFileInputVectorDistanceMatrix(InputData data,
String fileName,
DistanceMetric metric)
Write input distance matrix to a binary file, computing distances on the fly. |
static void |
DistanceMatrixWriter.writeSOMLibFileInputVectorDistanceMatrix(double[][] distances,
String fileName,
DistanceMetric metric,
boolean gzip)
Write pre-calculated input distance matrix to an ASCII file in SOMLib format. |
static void |
DistanceMatrixWriter.writeSOMLibFileInputVectorDistanceMatrix(InputData data,
String fileName,
DistanceMetric metric)
Write input distance matrix to ASCII file, computing distances on the fly. |
static void |
DistanceMatrixWriter.writeSOMLibFileInputVectorDistanceMatrix(InputData data,
String fileName,
DistanceMetric metric,
boolean gzip)
Write input distance matrix to ASCII file, computing distances on the fly. |
Constructors in at.tuwien.ifs.somtoolbox.data.distance that throw MetricException | |
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AbstractMemoryInputVectorDistanceMatrix(InputData data,
DistanceMetric metric)
Constructs the distance matrix by computing the distances on the fly. |
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FullMemoryInputVectorDistanceMatrix(InputData data,
DistanceMetric metric)
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LeightWeightMemoryInputVectorDistanceMatrix(InputData data,
DistanceMetric metric)
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Uses of MetricException in at.tuwien.ifs.somtoolbox.layers |
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Methods in at.tuwien.ifs.somtoolbox.layers that throw MetricException | |
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String[] |
GrowingLayer.getNNearestInputs(String datumlabel,
int n,
InputData data)
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Uses of MetricException in at.tuwien.ifs.somtoolbox.layers.metrics |
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Methods in at.tuwien.ifs.somtoolbox.layers.metrics that throw MetricException | |
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protected void |
AbstractMetric.checkDimensions(double[] vector1,
double[] vector2)
Performs a check on wether the given vectors have the same dimension. |
protected void |
AbstractMetric.checkDimensions(cern.colt.matrix.DoubleMatrix1D vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
Performs a check on wether the given vectors have the same dimension. |
double |
DistanceMetric.distance(double[] vector1,
double[] vector2)
Calculates the distance between two vectors provided by argument vector1 and vector2 . |
abstract double |
AbstractMetric.distance(double[] vector1,
double[] vector2)
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double |
L2MetricSparse.distance(double[] vector1,
double[] vector2)
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double |
LnAlphaMetric.distance(double[] vector1,
double[] vector2)
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double |
CosineMetric.distance(double[] vector1,
double[] vector2)
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double |
L1Metric.distance(double[] vector1,
double[] vector2)
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double |
MissingValueMetricWrapper.distance(double[] vector1,
double[] vector2)
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double |
MahalanobisMetric.distance(double[] vector1,
double[] vector2)
|
double |
LnMetric.distance(double[] vector1,
double[] vector2)
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double |
L2Metric.distance(double[] vector1,
double[] vector2)
|
double |
L2MetricFast.distance(double[] vector1,
double[] vector2)
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double |
LInfinityMetric.distance(double[] vector1,
double[] vector2)
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double |
AbstractWeightedMetric.distance(double[] vector1,
double[] vector2)
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double |
L2MetricWeighted.distance(double[] vector1,
double[] vector2,
double[] featureWeights)
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abstract double |
AbstractWeightedMetric.distance(double[] vector1,
double[] vector2,
double[] weights)
|
double |
DistanceMetric.distance(double[] vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
Calculates the distance between two vectors provided by argument vector1 and vector2 . |
double |
AbstractMetric.distance(double[] vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
|
double |
DistanceMetric.distance(double[] vector,
InputDatum datum)
Calculates the distance between two vectors provided by argument vector and datum . |
double |
AbstractMetric.distance(double[] vector,
InputDatum data)
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double |
AbstractWeightedMetric.distance(double[] vector,
Unit unit)
|
double |
DistanceMetric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
double[] vector2)
Calculates the distance between two vectors provided by argument vector1 and vector2 . |
double |
AbstractMetric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
double[] vector2)
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double |
DistanceMetric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
Calculates the distance between two vectors provided by argument vector1 and vector2 . |
double |
AbstractMetric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
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double |
CosineMetric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
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double |
L1Metric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
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double |
LnMetric.distance(cern.colt.matrix.DoubleMatrix1D vector1,
cern.colt.matrix.DoubleMatrix1D vector2)
|
double |
DistanceMetric.distance(cern.colt.matrix.DoubleMatrix1D vector,
InputDatum datum)
Calculates the distance between two vectors provided by argument vector and datum . |
double |
AbstractMetric.distance(cern.colt.matrix.DoubleMatrix1D vector,
InputDatum datum)
|
double |
DistanceMetric.distance(InputDatum datum,
double[] vector)
Calculates the distance between two vectors provided by argument datum and vector . |
double |
AbstractMetric.distance(InputDatum data,
double[] vector)
|
double |
DistanceMetric.distance(InputDatum datum,
cern.colt.matrix.DoubleMatrix1D vector)
Calculates the distance between two vectors provided by argument datum and vector . |
double |
AbstractMetric.distance(InputDatum datum,
cern.colt.matrix.DoubleMatrix1D vector)
|
double |
DistanceMetric.distance(InputDatum datum,
InputDatum datum2)
Calculates the distance between two vectors provided by argument datum and datum2 . |
double |
AbstractMetric.distance(InputDatum datum,
InputDatum datum2)
|
double |
MnemonicSOMMetric.distance(InputDatum datum1,
InputDatum datum2)
|
double |
AbstractWeightedMetric.distance(InputDatum inputDatum,
Unit unit)
|
double |
LnAlphaMetric.distanceFromPrecalc(double[] vector1,
double[] vector2)
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static void |
CosineMetric.main(String[] args)
Main method to test the metric. |
static double[] |
AbstractMetric.meanVector(double[] vector1,
double[] vector2)
Calculates the mean vector of two double array vectors. |
void |
LnAlphaMetric.setMetricParams(String metricParamString)
Sets specific parameters for the LnAlpha metric, namely alpha and n. |
Uses of MetricException in at.tuwien.ifs.somtoolbox.layers.quality |
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Methods in at.tuwien.ifs.somtoolbox.layers.quality that throw MetricException | |
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private double |
SOMDistortion.squaredDistance(InputDatum datum,
double[] vector2)
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Uses of MetricException in at.tuwien.ifs.somtoolbox.util |
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Methods in at.tuwien.ifs.somtoolbox.util that throw MetricException | |
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static double[] |
VectorTools.multiply(double[] a,
double[] b)
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Uses of MetricException in at.tuwien.ifs.somtoolbox.visualization |
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Methods in at.tuwien.ifs.somtoolbox.visualization that throw MetricException | |
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private void |
FlowBorderlineVisualizer.calculateFlows()
Formel 8, 9 10, 11, 12, 13, 14, 15, 16 |
cern.colt.matrix.DoubleMatrix2D |
PMatrix.createPMatrix(GrowingSOM gsom)
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cern.colt.matrix.DoubleMatrix2D |
PMatrix.createUStarMatrix(GrowingSOM gsom)
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private double |
FlowBorderlineVisualizer.df(int x1,
int y1,
int x2,
int y2)
Formel 1 distance in feature space |
Uses of MetricException in at.tuwien.ifs.somtoolbox.visualization.clustering |
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Methods in at.tuwien.ifs.somtoolbox.visualization.clustering that throw MetricException | |
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double |
LabelCoordinates.distance(LabelCoordinates other)
Calculate euclidean distance between this point and the other point |
Uses of MetricException in at.tuwien.ifs.somtoolbox.visualization.comparison |
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Methods in at.tuwien.ifs.somtoolbox.visualization.comparison that throw MetricException | |
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static double[][] |
SOMComparison.calculcateIntraSOMDistanceMatrix(LabelCoordinates[] coords)
Calculate the distance matrix for all mapped vectors from the information where the inputs are mapped |
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