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idf - Variable in class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

The IDF storage.

IDSTART_ID - Static variable in class elki.datasource.filter.FixedDBIDsFilter.Par

Optional parameter to specify the first object ID to use.

imadsigma - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseMADNormalization

Stores the inverse median absolute deviation in each dimension.

in - Variable in class elki.datasource.InputStreamDatabaseConnection

The input stream to parse from.

infile - Variable in class elki.datasource.BundleDatabaseConnection

File to load.

infile - Variable in class elki.datasource.BundleDatabaseConnection.Par

File to load.

infile - Variable in class elki.datasource.FileBasedDatabaseConnection.Par

Input stream to process.

init(BundleStreamSource) - Method in class elki.datasource.filter.AbstractStreamFilter

initializeOutputType(SimpleTypeInformation<O>) - Method in class elki.datasource.filter.AbstractVectorConversionFilter

Initialize factory from a data type.

initializeOutputType(SimpleTypeInformation<O>) - Method in class elki.datasource.filter.AbstractVectorStreamConversionFilter

Initialize factory from a data type.

initializeOutputType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

initializeOutputType(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

initializeRandomAttributes(SimpleTypeInformation<V>) - Method in class elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter

Initialize random attributes.

initStream(InputStream) - Method in class elki.datasource.parser.AbstractStreamingParser

initStream(InputStream) - Method in class elki.datasource.parser.NumberVectorLabelParser

initStream(InputStream) - Method in class elki.datasource.parser.SimpleTransactionParser

initStream(InputStream) - Method in interface elki.datasource.parser.StreamingParser

Init the streaming parser for the given input stream.

input - Variable in class elki.application.ConvertToBundleApplication

The data input step.

input - Variable in class elki.application.ConvertToBundleApplication.Par

The data input step.

INPUT_ID - Static variable in class elki.datasource.ConcatenateFilesDatabaseConnection.Par

Parameter that specifies the name of the input files to be parsed.

INPUT_ID - Static variable in class elki.datasource.FileBasedDatabaseConnection.Par

Parameter that specifies the name of the input file to be parsed.

InputStreamDatabaseConnection - Class in elki.datasource

Database connection expecting input from an input stream such as stdin.

InputStreamDatabaseConnection(InputStream, List<? extends ObjectFilter>, Parser) - Constructor for class elki.datasource.InputStreamDatabaseConnection

Constructor.

InputStreamDatabaseConnection(Supplier<InputStream>, List<? extends ObjectFilter>, Parser) - Constructor for class elki.datasource.InputStreamDatabaseConnection

Constructor.

InputStreamDatabaseConnection.Par - Class in elki.datasource

Parameterization class.

ins - Variable in class elki.datasource.InputStreamDatabaseConnection

The stream that we are processing.

InstanceLogRankNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.instancewise

Normalize vectors such that the smallest value of each instance is 0, the largest is 1, but using \( \log_2(1+x) \).

InstanceLogRankNormalization() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceLogRankNormalization

Constructor.

InstanceLogRankNormalization.Par - Class in elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceMeanVarianceNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.instancewise

Normalize vectors such that they have zero mean and unit variance.

InstanceMeanVarianceNormalization() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMeanVarianceNormalization

Constructor.

InstanceMeanVarianceNormalization.Par<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceMinMaxNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.instancewise

Normalize vectors with respect to a given minimum and maximum in each dimension.

InstanceMinMaxNormalization() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Constructor, normalizing to [0;1]

InstanceMinMaxNormalization(double, double) - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceMinMaxNormalization

Constructor.

InstanceMinMaxNormalization.Par<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.instancewise

Parameterization class.

InstanceRankNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.instancewise

Normalize vectors such that the smallest value of each instance is 0, the largest is 1.

InstanceRankNormalization() - Constructor for class elki.datasource.filter.normalization.instancewise.InstanceRankNormalization

Constructor.

InstanceRankNormalization.Par - Class in elki.datasource.filter.normalization.instancewise

Parameterization class.

instream - Variable in class elki.datasource.InputStreamDatabaseConnection.Par

Input stream.

IntegerRankTieNormalization - Class in elki.datasource.filter.normalization.columnwise

Normalize vectors according to their rank in the attributes.

IntegerRankTieNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.IntegerRankTieNormalization

Constructor.

IntegerRankTieNormalization.Sorter - Class in elki.datasource.filter.normalization.columnwise

Class to sort an index array by a particular dimension.

InverseDocumentFrequencyNormalization<V extends elki.data.SparseNumberVector> - Class in elki.datasource.filter.normalization.columnwise

Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).

InverseDocumentFrequencyNormalization() - Constructor for class elki.datasource.filter.normalization.columnwise.InverseDocumentFrequencyNormalization

Constructor.

inverted - Variable in class elki.datasource.filter.selection.ByLabelFilter

Inversion flag

inverted - Variable in class elki.datasource.filter.selection.ByLabelFilter.Par

Inversion flag

invokeBundleFilters(MultipleObjectsBundle) - Method in class elki.datasource.AbstractDatabaseConnection

Transforms the specified list of objects and their labels into a list of objects and their associations.

invokeStreamFilters(BundleStreamSource) - Method in class elki.datasource.AbstractDatabaseConnection

Transforms the specified list of objects and their labels into a list of objects and their associations.

isLabelColumn(int) - Method in class elki.datasource.parser.NumberVectorLabelParser

Test if the current column is marked as label column.

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