Package | Description |
---|---|
at.tuwien.ifs.somtoolbox.apps.analysis | |
at.tuwien.ifs.somtoolbox.apps.initEval | |
at.tuwien.ifs.somtoolbox.input |
Provides classes responsible for reading trained network models from file or some other location.
|
at.tuwien.ifs.somtoolbox.layers |
Provides the basic classes constituting SOM-based neural networks.
|
at.tuwien.ifs.somtoolbox.layers.initialisation | |
at.tuwien.ifs.somtoolbox.layers.quality |
Classes in this package implement various quality measures, indicating the quality of the SOM mapping.
|
Modifier and Type | Field and Description |
---|---|
private Layer |
PLOutputSpaceAnalyser.som |
private Layer |
PLClusterSpaceAnalyser.som |
Modifier and Type | Field and Description |
---|---|
private static Layer |
Measure.layer |
Modifier and Type | Method and Description |
---|---|
protected static Layer |
Measure.getLayer() |
Modifier and Type | Method and Description |
---|---|
static void |
Measure.setLayer(Layer growingLayer) |
Modifier and Type | Method and Description |
---|---|
void |
InputCorrections.readFromFile(String fileName,
Layer layer,
InputData data) |
Constructor and Description |
---|
InputCorrections(String fileName,
Layer layer,
InputData data) |
Modifier and Type | Class and Description |
---|---|
class |
GrowingCellLayer |
class |
GrowingLayer
Implementation of a growing Self-Organizing Map layer that can also be static in size.
|
class |
MnemonicGrowingLayer
A mnemonic layer is a rectangular layer that might not have all grid positions occupied by units.
|
class |
ToroidLayer
Implementation of a toroid Self-Organizing Map layer, i.e.
|
Modifier and Type | Field and Description |
---|---|
private Layer |
Unit.layer |
Modifier and Type | Method and Description |
---|---|
Layer |
Unit.getLayer()
Returns the layer of units this unit is part of.
|
Constructor and Description |
---|
Unit(Layer l,
int x,
int y,
double[] vec)
Constructs a
Unit on Layer specified by argument layer at position
x /y with a given weight vector vec . |
Unit(Layer l,
int x,
int y,
int z,
double[] vec)
Constructs a
Unit on Layer specified by argument layer at position
x /y with a given weight vector vec . |
Unit(Layer l,
int x,
int y,
int z,
int d,
Random rand,
boolean norm)
Constructs a
Unit on Layer specified by argument layer at position
x /y with a randomly initialized weight vector of dimension d . |
Unit(Layer l,
int x,
int y,
int z,
int d,
Random rand,
boolean norm,
int initialisationMode) |
Unit(Layer l,
int x,
int y,
int d,
Random rand,
boolean norm)
Constructs a
Unit on Layer specified by argument layer at position
x /y with a randomly initialized weight vector of dimension d . |
Unit(Layer l,
int x,
int y,
int d,
Random rand,
boolean norm,
int initialisationMode) |
Modifier and Type | Field and Description |
---|---|
private Layer |
SOMInitializer.layer |
private Layer |
RandomInitializer.layer |
private Layer |
PCAInitializer.layer |
private Layer |
RandomSamplingInitializer.layer |
Constructor and Description |
---|
PCAInitializer(Layer layer,
int size,
int size2,
int size3,
InputData data,
int dim) |
RandomInitializer(Layer layer,
int xSize,
int ySize,
int zSize,
int dim,
Random rand,
boolean normalized) |
RandomSamplingInitializer(Layer layer,
int xSize,
int ySize,
int zSize,
InputData data) |
SOMInitializer(Layer layer,
int xSize,
int ySize,
int zSize) |
Modifier and Type | Field and Description |
---|---|
(package private) Layer |
TopographicFunction.layer |
protected Layer |
AbstractQualityMeasure.layer |
Modifier and Type | Method and Description |
---|---|
static QualityMeasure |
AbstractQualityMeasure.instantiate(String qmName,
Layer layer,
InputData data)
Instantiates a certain quality measure class specified by argument
mqName . |
Constructor and Description |
---|
AbstractQualityMeasure(Layer layer,
InputData data) |
EntropyMeasure(Layer layer,
InputData data) |
IntrinsicDistance(Layer layer,
InputData data) |
InversionMeasure(Layer layer,
InputData data) |
MetricMultiScaling(Layer layer,
InputData data) |
PseudoSilhouetteValue(Layer layer,
InputData data) |
QuantizationError(Layer layer,
InputData data) |
SammonMeasure(Layer layer,
InputData data) |
SilhouetteValue(Layer layer,
InputData data) |
SOMDistortion(Layer layer,
InputData data) |
SOMSilhouetteValue(Layer layer,
InputData data) |
SpearmanCoefficient(Layer layer,
InputData data) |
TopographicError(Layer layer,
InputData data) |
TopographicFunction(Layer layer,
InputData data) |
TopographicProduct(Layer layer,
InputData data) |
Trustworthiness_NeighborhoodPreservation(Layer layer,
InputData data) |