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Packages that use QualityMeasure | |
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at.tuwien.ifs.somtoolbox.apps.initEval | |
at.tuwien.ifs.somtoolbox.apps.trainer | |
at.tuwien.ifs.somtoolbox.layers | Provides the basic classes constituting SOM-based neural networks. |
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.models | Provides the actual implementations of network models. |
Uses of QualityMeasure in at.tuwien.ifs.somtoolbox.apps.initEval |
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Fields in at.tuwien.ifs.somtoolbox.apps.initEval declared as QualityMeasure | |
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private static QualityMeasure |
Measure.qualitymeasure
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Methods in at.tuwien.ifs.somtoolbox.apps.initEval that return QualityMeasure | |
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protected static QualityMeasure |
Measure.getQualityMeasure()
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Methods in at.tuwien.ifs.somtoolbox.apps.initEval with parameters of type QualityMeasure | |
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static void |
Measure.setQualityMeasure(QualityMeasure qm)
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Uses of QualityMeasure in at.tuwien.ifs.somtoolbox.apps.trainer |
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Fields in at.tuwien.ifs.somtoolbox.apps.trainer with type parameters of type QualityMeasure | |
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private ClassComboBoxModel<QualityMeasure> |
SOMTrainer.cmbQualityMeasureModel
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Methods in at.tuwien.ifs.somtoolbox.apps.trainer that return types with arguments of type QualityMeasure | |
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private ClassComboBoxModel<QualityMeasure> |
SOMTrainer.getCmbQualityMeasureModel()
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Uses of QualityMeasure in at.tuwien.ifs.somtoolbox.layers |
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Fields in at.tuwien.ifs.somtoolbox.layers declared as QualityMeasure | |
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private QualityMeasure |
GrowingCellLayer.qualityMeasure
QualityMesure used for GrowingCellStructures |
private QualityMeasure |
GrowingLayer.qualityMeasure
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Methods in at.tuwien.ifs.somtoolbox.layers that return QualityMeasure | |
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QualityMeasure |
Layer.getQualityMeasure()
Returns the quality information. |
QualityMeasure |
GrowingCellLayer.getQualityMeasure()
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QualityMeasure |
GrowingLayer.getQualityMeasure()
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QualityMeasure |
GrowingLayer.train(InputData data,
double initialLearnrate,
double initialSigma,
int numIterations,
double tau,
double targetQualityValue,
String qualityMeasureName,
SOMProperties trainingProps)
Trains the layer with the input data. |
QualityMeasure |
GrowingLayer.train(InputData data,
double iniLearnrate,
double iniSigma,
int numIterations,
double tau,
String qualityMeasureName,
SOMProperties trainingProps)
Trains the layer with the input data. |
QualityMeasure |
GrowingLayer.train(InputData data,
double initialLearnrate,
double initialSigma,
int numIterations,
int startIteration,
double tau,
double targetQualityValue,
String qualityMeasureName,
SOMProperties trainingProps)
Trains the layer with the input data. |
QualityMeasure |
GrowingLayer.train(InputData data,
double iniLearnrate,
double iniSigma,
int numIterations,
int startIteration,
double tau,
String qualityMeasureName,
SOMProperties trainingProps)
Trains the layer with the input data. |
QualityMeasure |
GrowingCellLayer.train(InputData data,
float epsilonB,
float epsilonN,
float alpha,
int lamda,
float eta,
SOMProperties props)
Trains the CellLayer with the given Parameters and returns the QualityMeasure |
Methods in at.tuwien.ifs.somtoolbox.layers with parameters of type QualityMeasure | |
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private Unit |
GrowingLayer.getErrorUnit(QualityMeasure qm,
String methodName)
Returns the unit having the highest quantization error. |
private void |
GrowingLayer.printInfo(double targetQualityValue,
String[] qmNameMethod,
QualityMeasure qm)
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Uses of QualityMeasure in at.tuwien.ifs.somtoolbox.layers.quality |
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Classes in at.tuwien.ifs.somtoolbox.layers.quality that implement QualityMeasure | |
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class |
AbstractQualityMeasure
Provides basic functionality for quality measure algorithms. |
class |
EntropyMeasure
Implementation of SOM Entropy Measure. |
class |
IntrinsicDistance
Implementation of Intrinsic Distance Quality |
class |
InversionMeasure
Implementation of SOM Inversion Measure for multidimenional Inputdata. |
class |
MetricMultiScaling
Implementation of the SOM Metric Multidimensional Scaling Measure. |
class |
PseudoSilhouetteValue
|
class |
QuantizationError
Calculates the Quantisation Error, defined as the average distance between and input data vector and the weight-vector of its best-matching-unit. Calculates the following values: Unit Quantisation error (qe). |
class |
SammonMeasure
Sammon Measure for Self Organizing Maps (Sammon 1969) |
class |
SilhouetteValue
|
class |
SOMDistortion
Implementation of SOM Distortion Measure Quality. |
class |
SOMSilhouetteValue
|
class |
SpearmanCoefficient
Implementation of SOM Spearman Coeffizient. |
class |
TopographicError
Implementation of Topographic Error Quality Measure. TODO: can maybe be optimised using data winner mapping file ( SOMLibDataWinnerMapping ). |
class |
TopographicProduct
Implementation of Topographic Product Quality Measure. More Infos: H.U. |
class |
Trustworthiness_NeighborhoodPreservation
Implematation of Trustworthiness and Neighborhood preservation Quality Measures |
Methods in at.tuwien.ifs.somtoolbox.layers.quality that return QualityMeasure | |
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static QualityMeasure |
AbstractQualityMeasure.instantiate(String qmName,
Layer layer,
InputData data)
Instantiates a certain quality measure class specified by argument mqName . |
Uses of QualityMeasure in at.tuwien.ifs.somtoolbox.models |
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Methods in at.tuwien.ifs.somtoolbox.models that return QualityMeasure | |
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QualityMeasure |
GrowingSOM.train(InputData data,
GHSOMProperties props,
double targetQualityValue,
String qualityMeasureName)
Trains the map with the input data and training parameters specified in the properties provided by argument props . |
Methods in at.tuwien.ifs.somtoolbox.models with parameters of type QualityMeasure | |
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private GHSOM.ExpandedUnits |
GHSOM.getExpandedUnits(GrowingLayer layer,
QualityMeasure qm,
String qmName,
double fraction,
double totalQuality)
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