Package | Description |
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at.tuwien.ifs.somtoolbox.apps.helper | |
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.normalisation | |
at.tuwien.ifs.somtoolbox.database |
Classes providing the connection to and reading from or writing to a database.
|
at.tuwien.ifs.somtoolbox.summarisation.output | |
at.tuwien.ifs.somtoolbox.summarisation.parser |
Modifier and Type | Class and Description |
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class |
VectorFileToRandomAccessFileConverter
Converts an input file to a binary/random access input file.
|
Modifier and Type | Class and Description |
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class |
ARFFFormatInputData
Reads input data from a WEKA ARFF File Format.
|
class |
ESOMInputData
Reads a input data file in the ESOM format.
|
class |
Marsyas_0_4_5_ARFFInputData
Marsyas 0.4.5 writes, after the line with the label name as comment (see
MarsyasARFFInputData , an additional
line such as |
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 |
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.
|
Modifier and Type | Method and Description |
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static SOMLibSparseInputData |
SOMLibSparseInputData.parse(String contents)
Parses the given contents in SOMLib format to a
SOMLibSparseInputData object.The difference to the main constructor #SOMLibClassInformation(String) is that the constructor reads from
a file, while this method already has the contents in the given parameter. |
Modifier and Type | Method and Description |
---|---|
void |
SOMLibClassInformation.removeNotPresentElements(SOMLibSparseInputData inputData) |
Modifier and Type | Class and Description |
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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.
|
Modifier and Type | Class and Description |
---|---|
private class |
VectorFile2DatabaseImporter.InputVectorImporter
This class customises the handling of data read from the file by storing it in the DB.
|
Modifier and Type | Field and Description |
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private SOMLibSparseInputData |
DocumentDisplayer.inputvectors |
Modifier and Type | Method and Description |
---|---|
void |
Scorer.setVectors(SOMLibSparseInputData input,
SOMLibTemplateVector template) |