Package | Description |
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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.
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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.
|
at.tuwien.ifs.somtoolbox.models |
Provides the actual implementations of network models.
|
at.tuwien.ifs.somtoolbox.reportgenerator | |
at.tuwien.ifs.somtoolbox.visualization |
Provides classes creating visualisations of trained SOMs.
|
Class and Description |
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QualityMeasure
All quality measure algorithm implementations should implement this interface.
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Class and Description |
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QualityMeasure
All quality measure algorithm implementations should implement this interface.
|
Class and Description |
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QualityMeasure
All quality measure algorithm implementations should implement this interface.
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QualityMeasureNotFoundException
Is thrown if a quality measure can not be found.
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Class and Description |
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AbstractQualityMeasure
Provides basic functionality for quality measure algorithms.
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IntrinsicDistance.QuadUnitDistance |
IntrinsicDistance.UnitInfo |
QualityMeasure
All quality measure algorithm implementations should implement this interface.
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QualityMeasureNotFoundException
Is thrown if a quality measure can not be found.
|
TopographicProduct.DistanceTag |
Trustworthiness_NeighborhoodPreservation.DistanceTag |
Class and Description |
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QualityMeasure
All quality measure algorithm implementations should implement this interface.
|
Class and Description |
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QualityMeasureNotFoundException
Is thrown if a quality measure can not be found.
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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 and Description |
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IntrinsicDistance
Implementation of Intrinsic Distance Quality
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PseudoSilhouetteValue |
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). |
SilhouetteValue |
SOMSilhouetteValue |
TopographicError
Implementation of Topographic Error Quality Measure.
TODO: can maybe be optimised using data winner mapping file ( SOMLibDataWinnerMapping ). |
TopographicProduct
Implementation of Topographic Product Quality Measure.
More Infos: H.U. |
Trustworthiness_NeighborhoodPreservation
Implematation of Trustworthiness and Neighborhood preservation Quality Measures
|