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PREV NEXT | FRAMES NO FRAMES |
Packages that use InputData | |
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at.tuwien.ifs.feature.evaluation | |
at.tuwien.ifs.somtoolbox.apps | Classes in this package implement applications based upon SOMs, the most important being the SOMViewer . |
at.tuwien.ifs.somtoolbox.apps.analysis | |
at.tuwien.ifs.somtoolbox.apps.helper | |
at.tuwien.ifs.somtoolbox.apps.initEval | |
at.tuwien.ifs.somtoolbox.apps.viewer | This package implements the SOMViewer application; main class is SOMViewer.java. |
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.data.normalisation | |
at.tuwien.ifs.somtoolbox.database | Classes providing the connection to and reading from or writing to a database. |
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. |
at.tuwien.ifs.somtoolbox.models | Provides the actual implementations of network models. |
at.tuwien.ifs.somtoolbox.output | Provides classes to write trained SOMs to files for future re-use. |
at.tuwien.ifs.somtoolbox.output.labeling | Provides implementations of labeling algorithms to assign semantic labels to SOM units. |
at.tuwien.ifs.somtoolbox.reportgenerator | |
at.tuwien.ifs.somtoolbox.summarisation.methods | |
at.tuwien.ifs.somtoolbox.summarisation.parser | |
at.tuwien.ifs.somtoolbox.visualization | Provides classes creating visualisations of trained SOMs. |
at.tuwien.ifs.somtoolbox.visualization.minimumSpanningTree |
Uses of InputData in at.tuwien.ifs.feature.evaluation |
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Fields in at.tuwien.ifs.feature.evaluation with type parameters of type InputData | |
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private ArrayList<InputData> |
SimilarityRetrievalGUI.inputData
|
Uses of InputData in at.tuwien.ifs.somtoolbox.apps |
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Fields in at.tuwien.ifs.somtoolbox.apps declared as InputData | |
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private InputData |
SDHTrainingSequenceGenerator.data
|
Uses of InputData in at.tuwien.ifs.somtoolbox.apps.analysis |
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Fields in at.tuwien.ifs.somtoolbox.apps.analysis declared as InputData | |
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private InputData |
PLStepSequenceAnalyser.inputData
|
private InputData |
PLInputSpaceAnalyser.inputData
|
private InputData |
PlaylistAnalysis.inputData
|
Methods in at.tuwien.ifs.somtoolbox.apps.analysis that return InputData | |
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InputData |
PlaylistAnalysis.getInputData()
|
Uses of InputData in at.tuwien.ifs.somtoolbox.apps.helper |
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Classes in at.tuwien.ifs.somtoolbox.apps.helper that implement InputData | |
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class |
VectorFileToRandomAccessFileConverter
Converts an input file to a binary/random access input file. |
Methods in at.tuwien.ifs.somtoolbox.apps.helper with parameters of type InputData | |
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private void |
DataMapper.mapCompleteDataAfterTraining(GrowingSOM som,
InputData data,
SOMLibClassInformation classInfo,
ArrayList<String> mappingExceptions,
String labelerName,
int numLabels)
|
private static void |
DatasetRandomiser.writeToFile(String fileName,
InputData inputData,
int[] columnOrder,
int[] rowOrder,
boolean gzip)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.apps.initEval |
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Fields in at.tuwien.ifs.somtoolbox.apps.initEval declared as InputData | |
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private static InputData |
Measure.inputData
|
Methods in at.tuwien.ifs.somtoolbox.apps.initEval that return InputData | |
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static InputData |
Measure.getInputData()
|
Methods in at.tuwien.ifs.somtoolbox.apps.initEval with parameters of type InputData | |
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static void |
Measure.setInputData(InputData data)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.apps.viewer |
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Fields in at.tuwien.ifs.somtoolbox.apps.viewer declared as InputData | |
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private InputData |
ExportDialog.inputVector
|
Uses of InputData in at.tuwien.ifs.somtoolbox.data |
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Classes in at.tuwien.ifs.somtoolbox.data that implement InputData | |
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class |
AbstractSOMLibSparseInputData
This abstract implementation provides basic support for operating on a InputData . |
class |
ARFFFormatInputData
Reads input data from a WEKA ARFF File Format. |
class |
DataBaseSOMLibSparseInputData
Implements InputData by reading the vector information from a database. |
class |
ESOMInputData
Reads a input data file in the ESOM format. |
class |
MarsyasARFFInputData
A reader for the Marsyas 0.2 ARFF format, which has the label name as a comment in front of the vector file name. |
class |
RandomAccessFileSOMLibInputData
Reads SOMLib input from a random access file. |
class |
SimpleMatrixInputData
Reads data from a simple matrix file. |
class |
SOMLibSparseInputData
Implements InputData based on a SOMLib Input Vector File. |
class |
SOMLibSparseInputDataNames
Reads just the data names from the Input file, the rest is discarded. |
class |
SOMPAKInputData
This class reads input vector data from files in the SOMPak format, as provided by the MATLAB SOMToolbox. |
Methods in at.tuwien.ifs.somtoolbox.data that return InputData | |
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InputData |
SharedSOMVisualisationData.getInputData()
|
static InputData |
InputDataFactory.open(String inputVectorFileName)
|
static InputData |
InputDataFactory.open(String formatName,
String inputFileName)
|
static InputData |
InputDataFactory.open(String vectorFileName,
String templateFileName,
boolean sparse,
boolean norm,
int numCacheBlocks,
long seed)
|
InputData |
RandomAccessFileSOMLibInputData.subset(String[] names)
|
InputData |
InputData.subset(String[] names)
Gets a subset of this input data set. |
InputData |
DataBaseSOMLibSparseInputData.subset(String[] names)
TODO: this reads the whole subset into the memory. |
InputData |
SimpleMatrixInputData.subset(String[] names)
|
InputData |
SOMLibSparseInputData.subset(String[] names)
|
Methods in at.tuwien.ifs.somtoolbox.data with parameters of type InputData | |
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static void |
RandomAccessFileSOMLibInputData.write(InputData data,
String outputFile)
|
static void |
InputDataWriter.write(String fName,
InputData data,
String outputFormat,
boolean tabSeparatedClassFile,
boolean skipInstanceNames,
boolean skipInputsWithoutClass)
|
static void |
InputDataWriter.writeAsCSV(InputData data,
String fileName)
|
static void |
InputDataWriter.writeAsESOM(InputData data,
String fileName)
Writes the data to ESOM lrn/cls format. |
static void |
InputDataWriter.writeAsOrange(InputData data,
String fileName)
Writes input data in the tab-separated format used by the Orange data mining toolkit (see http://www.ailab.si/orange/) |
static void |
InputDataWriter.writeAsSOMLib(InputData data,
String fileName)
|
static void |
InputDataWriter.writeAsSOMLib(InputData data,
TemplateVector templateVector,
SOMLibClassInformation classInformation,
boolean tabSeparatedClassFile,
String basicFileName)
Writes the class information to a file. |
static void |
InputDataWriter.writeAsSOMLib(InputData data,
TemplateVector templateVector,
SOMLibClassInformation classInformation,
String basicFileName)
Writes the class information to a file. |
static void |
InputDataWriter.writeAsSOMPAK(InputData data,
String fileName)
Writes input data in the SOMPAK format (see http://www.cis.hut.fi/projects/somtoolbox/package/docs2/som_read_data.html) |
static void |
InputDataWriter.writeAsWekaARFF(InputData data,
String fileName,
boolean writeInstanceNames,
boolean skipInputsWithoutClass)
Writes the data to Weka ARFF format. |
Uses of InputData in at.tuwien.ifs.somtoolbox.data.distance |
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Methods in at.tuwien.ifs.somtoolbox.data.distance with parameters of type InputData | |
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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(InputData data,
String fileName,
DistanceMetric metric)
Write input distance matrix to a binary file, computing distances on the fly. |
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 with parameters of type InputData | |
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AbstractMemoryInputVectorDistanceMatrix(InputData data,
DistanceMetric metric)
Constructs the distance matrix by computing the distances on the fly. |
|
FullMemoryInputVectorDistanceMatrix(InputData data,
DistanceMetric metric)
|
|
LeightWeightMemoryInputVectorDistanceMatrix(InputData data,
DistanceMetric metric)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.data.normalisation |
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Classes in at.tuwien.ifs.somtoolbox.data.normalisation that implement InputData | |
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(package private) class |
AbstractNormaliser
|
class |
MinMaxNormaliser
Min-max normalisation, normalises the attributes between 0 and 1. |
class |
StandardScoreNormaliser
Standard score nomalisation, normalises the attributes to have zero mean and the standard deviation as max values, i.e. |
class |
UnitLengthNormaliser
Unit length normalisation, normalises the length of the instance to 1. |
Uses of InputData in at.tuwien.ifs.somtoolbox.database |
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Classes in at.tuwien.ifs.somtoolbox.database that implement InputData | |
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private class |
VectorFile2DatabaseImporter.InputVectorImporter
This class customises the handling of data read from the file by storing it in the DB. |
Uses of InputData in at.tuwien.ifs.somtoolbox.input |
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Methods in at.tuwien.ifs.somtoolbox.input with parameters of type InputData | |
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void |
InputCorrections.readFromFile(String fileName,
Layer layer,
InputData data)
|
Constructors in at.tuwien.ifs.somtoolbox.input with parameters of type InputData | |
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InputCorrections(String fileName,
Layer layer,
InputData data)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.layers |
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Fields in at.tuwien.ifs.somtoolbox.layers declared as InputData | |
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private InputData |
GrowingCellLayer.data
Data used for training |
private InputData |
GrowingLayer.data
|
Methods in at.tuwien.ifs.somtoolbox.layers that return InputData | |
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InputData |
GrowingCellLayer.getData()
|
InputData |
GrowingLayer.getData()
|
Methods in at.tuwien.ifs.somtoolbox.layers with parameters of type InputData | |
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void |
Unit.addMappedInput(InputData data,
boolean calcQE)
Map all the input vectors contained in specified InputData object onto this unit. |
InputCorrections |
GrowingLayer.computeUnitFeatureWeights(InputCorrections corrections,
InputData data,
Unit.FeatureWeightMode mode)
Implementation of general weighting as in Nünrberger/Detyniecki, 'Weighted Self-Organizing Maps: Incorporating User Feedback' |
String[] |
GrowingLayer.getNNearestInputs(String datumlabel,
int n,
InputData data)
|
private void |
GrowingCellLayer.mapCompleteData(InputData data)
Maps data to the units |
private void |
GrowingLayer.mapCompleteDataAfterTraining(InputData data)
Maps data onto layer without recalculating the quantization error after every single input datum. FIXME: add multi-threading |
void |
GrowingLayer.mapData(InputData data)
Maps input data onto layer. |
String |
Unit.printUnitDetails(InputData inputData,
TemplateVector tv)
|
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 |
private void |
GrowingLayer.trainNormal(InputData data,
int numIterations,
int startIteration,
SOMProperties trainingProps,
double initialLearnrate,
double initialSigma,
double expParam,
double expParam2,
ProgressListener progressWriter)
|
private void |
GrowingCellLayer.trainNormal(InputData data,
ProgressListener progressWriter)
Trains the CellLayer with the secified InputData and logs to progressWriter |
private void |
GrowingLayer.trainSpecial(InputData data,
int numIterations,
int startIteration,
SOMProperties trainingProps,
double initialLearnrate,
double initialSigma,
double expParam,
double expParam2,
SOMLibClassInformation classInfo,
double minProbability,
ProgressListener progressWriter)
|
Constructors in at.tuwien.ifs.somtoolbox.layers with parameters of type InputData | |
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GrowingCellLayer(int dim,
boolean normalize,
long randomSeed,
InputData data)
Std. |
|
GrowingLayer(int xSize,
int ySize,
int zSize,
String metricName,
int dim,
boolean normalized,
boolean usePCA,
long seed,
InputData data)
Convenience constructor for top layer map of GHSOM or a single map. |
|
GrowingLayer(int xSize,
int ySize,
String metricName,
int dim,
boolean normalized,
boolean usePCA,
long seed,
InputData data)
Convenience constructor for top layer map of GHSOM or a single map. |
|
GrowingLayer(int id,
Unit su,
int xSize,
int ySize,
int zSize,
String metricName,
int dim,
boolean normalized,
boolean usePCA,
long seed,
InputData data)
Constructor for a new, untrained layer. |
|
GrowingLayer(int id,
Unit su,
int xSize,
int ySize,
String metricName,
int dim,
boolean normalized,
boolean usePCA,
long seed,
InputData data)
Constructor for a new, untrained layer. |
|
ToroidLayer(int xSize,
int ySize,
int zSize,
String metricName,
int dim,
boolean normalize,
boolean usePCA,
long seed,
InputData data)
|
|
ToroidLayer(int xSize,
int ySize,
String metricName,
int dim,
boolean normalize,
boolean usePCA,
long seed,
InputData data)
|
|
ToroidLayer(int id,
Unit su,
int xSize,
int ySize,
int zSize,
String metricName,
int dim,
boolean normalize,
boolean usePCA,
long seed,
InputData data)
|
|
ToroidLayer(int id,
Unit su,
int xSize,
int ySize,
String metricName,
int dim,
boolean normalize,
boolean usePCA,
long seed,
InputData data)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.layers.initialisation |
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Fields in at.tuwien.ifs.somtoolbox.layers.initialisation declared as InputData | |
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private InputData |
PCAInitializer.data
|
Constructors in at.tuwien.ifs.somtoolbox.layers.initialisation with parameters of type InputData | |
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PCAInitializer(Layer layer,
int size,
int size2,
int size3,
InputData data,
int dim)
|
|
RandomSamplingInitializer(Layer layer,
int xSize,
int ySize,
int zSize,
InputData data)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.layers.quality |
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Fields in at.tuwien.ifs.somtoolbox.layers.quality declared as InputData | |
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protected InputData |
AbstractQualityMeasure.data
|
(package private) InputData |
TopographicFunction.data
|
Methods in at.tuwien.ifs.somtoolbox.layers.quality with parameters of type InputData | |
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static QualityMeasure |
AbstractQualityMeasure.instantiate(String qmName,
Layer layer,
InputData data)
Instantiates a certain quality measure class specified by argument mqName . |
Constructors in at.tuwien.ifs.somtoolbox.layers.quality with parameters of type InputData | |
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AbstractQualityMeasure(Layer layer,
InputData data)
|
|
EntropyMeasure(Layer layer,
InputData data)
|
|
IntrinsicDistance(Layer layer,
InputData data)
|
|
InversionMeasure(Layer layer,
InputData data)
|
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MetricMultiScaling(Layer layer,
InputData data)
|
|
PseudoSilhouetteValue(Layer layer,
InputData data)
|
|
QuantizationError(Layer layer,
InputData data)
|
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SammonMeasure(Layer layer,
InputData data)
|
|
SilhouetteValue(Layer layer,
InputData data)
|
|
SOMDistortion(Layer layer,
InputData data)
|
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SOMSilhouetteValue(Layer layer,
InputData data)
|
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SpearmanCoefficient(Layer layer,
InputData data)
|
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TopographicError(Layer layer,
InputData data)
|
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TopographicFunction(Layer layer,
InputData data)
|
|
TopographicProduct(Layer layer,
InputData data)
|
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Trustworthiness_NeighborhoodPreservation(Layer layer,
InputData data)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.models |
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Methods in at.tuwien.ifs.somtoolbox.models that return InputData | |
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protected static InputData |
AbstractNetworkModel.getInputData(FileProperties fileProps)
|
Methods in at.tuwien.ifs.somtoolbox.models with parameters of type InputData | |
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private void |
GrowingSOM.initLayer(boolean norm,
SOMProperties props,
InputData data)
|
private void |
GHSOM.train(InputData data,
GHSOMProperties props)
Trains the GHSOM with the input data and training parameters specified in the properties provided by argument props . |
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 . |
void |
GrowingSOM.train(InputData data,
SOMProperties props)
Trains the map with the input data and training parameters specified in the properties provided by argument props . |
private void |
GrowingCellStructures.train(InputData data,
SOMProperties props)
Trains a GrowingCellStructures |
Constructors in at.tuwien.ifs.somtoolbox.models with parameters of type InputData | |
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GHSOM(int dim,
boolean norm,
GHSOMProperties props,
InputData data)
Constructs a new GHSOM with dim -dimensional weight vectors. |
|
GrowingCellStructures(int dim,
boolean normalize,
SOMProperties props,
InputData data)
Constructs a new GrowingCellStructures with dim -dimensional weight vectors. |
|
GrowingSOM(boolean norm,
SOMProperties props,
InputData data)
Constructs a new GrowingSOM with dim -dimensional weight vectors. |
|
GrowingSOM(int xSize,
int ySize,
int numIterations,
InputData data)
Constructs and trains a new GrowingSOM . |
|
GrowingSOM(int xSize,
int ySize,
int zSize,
String metricName,
int numIterations,
boolean normalised,
boolean usePCAInit,
int randomSeed,
InputData data)
Constructs and trains a new GrowingSOM . |
|
GrowingSOM(int id,
Unit su,
int dim,
boolean norm,
SOMProperties props,
InputData data)
Constructs a new GrowingSOM with dim -dimensional weight vectors. |
Uses of InputData in at.tuwien.ifs.somtoolbox.output |
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Methods in at.tuwien.ifs.somtoolbox.output with parameters of type InputData | |
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static void |
ESOMMapOutputter.write(GrowingSOM gsom,
InputData data,
String dir,
String fileName,
boolean gzipped)
|
static void |
SOMLibMapOutputter.writeDataWinnerMappingFile(GHSOM ghsom,
InputData data,
int numWinners,
String fDir,
String fName,
boolean gzipped)
|
static void |
GrowingCellStructuresMapOutputter.writeDataWinnerMappingFile(GrowingCellStructures csom,
InputData data,
int numWinners,
String fDir,
String fName,
boolean gzipped)
|
static void |
SOMLibMapOutputter.writeDataWinnerMappingFile(GrowingSOM gsom,
InputData data,
int numWinners,
String fDir,
String fName,
boolean gzipped)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.output.labeling |
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Methods in at.tuwien.ifs.somtoolbox.output.labeling with parameters of type InputData | |
---|---|
void |
Labeler.label(GHSOM ghsom,
InputData data,
int num)
|
void |
LagusKeywordLabeler.label(GHSOM ghsom,
InputData data,
int num)
|
void |
LabelSOM.label(GHSOM ghsom,
InputData data,
int num)
|
void |
Labeler.label(GrowingSOM gsom,
InputData data,
int num)
Determines and adds labels to the units of a GrowingSOM (should be NetworkModel in the future). |
void |
LagusKeywordLabeler.label(GrowingSOM gsom,
InputData data,
int num)
|
void |
LabelSOM.label(GrowingSOM gsom,
InputData data,
int num)
|
void |
Labeler.label(GrowingSOM gsom,
InputData data,
int num,
boolean ignoreLabelsWithZero)
|
void |
LagusKeywordLabeler.label(GrowingSOM gsom,
InputData data,
int num,
boolean ignoreLabelsWithZero)
|
void |
LabelSOM.label(GrowingSOM gsom,
InputData data,
int num,
boolean ignoreLabelsWithZero)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.reportgenerator |
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Fields in at.tuwien.ifs.somtoolbox.reportgenerator declared as InputData | |
---|---|
private InputData |
DatasetInformation.inputData
|
Methods in at.tuwien.ifs.somtoolbox.reportgenerator that return InputData | |
---|---|
InputData |
DatasetInformation.getInputData()
returns the InputData object storing information about the input data used for training the som. |
Uses of InputData in at.tuwien.ifs.somtoolbox.summarisation.methods |
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Fields in at.tuwien.ifs.somtoolbox.summarisation.methods declared as InputData | |
---|---|
private InputData |
TFxIDF.inputVector
|
Methods in at.tuwien.ifs.somtoolbox.summarisation.methods with parameters of type InputData | |
---|---|
void |
CombinedMethod.setVectors(InputData input,
SOMLibTemplateVector template)
|
void |
TFxIDF.setVectors(InputData input,
SOMLibTemplateVector template)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.summarisation.parser |
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Fields in at.tuwien.ifs.somtoolbox.summarisation.parser declared as InputData | |
---|---|
private InputData |
Scorer.inputvectors
|
Constructors in at.tuwien.ifs.somtoolbox.summarisation.parser with parameters of type InputData | |
---|---|
Scorer(Object[] itemN,
InputData input,
SOMLibTemplateVector template)
|
|
Scorer(String itemN,
InputData input,
SOMLibTemplateVector template)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.visualization |
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Fields in at.tuwien.ifs.somtoolbox.visualization declared as InputData | |
---|---|
private InputData |
NeighbourhoodGraph.inputData
|
private InputData |
ActivityHistogram.inputData
|
Constructors in at.tuwien.ifs.somtoolbox.visualization with parameters of type InputData | |
---|---|
ActivityHistogram.ActivityHistrogramControlPanel(ActivityHistogram hist,
InputData inputData)
|
Uses of InputData in at.tuwien.ifs.somtoolbox.visualization.minimumSpanningTree |
---|
Fields in at.tuwien.ifs.somtoolbox.visualization.minimumSpanningTree declared as InputData | |
---|---|
(package private) InputData |
InputdataGraph.data
|
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