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AbstractConversionFilter<I,O> - Class in elki.datasource.filter

Abstract base class for simple conversion filters such as normalizations and projections.

AbstractConversionFilter() - Constructor for class elki.datasource.filter.AbstractConversionFilter

AbstractDatabaseConnection - Class in elki.datasource

Abstract super class for all database connections.

AbstractDatabaseConnection(List<? extends ObjectFilter>) - Constructor for class elki.datasource.AbstractDatabaseConnection

Constructor.

AbstractDatabaseConnection.Par - Class in elki.datasource

Parameterization class.

AbstractStreamConversionFilter<I,O> - Class in elki.datasource.filter

Abstract base class for simple conversion filters such as normalizations and projections.

AbstractStreamConversionFilter() - Constructor for class elki.datasource.filter.AbstractStreamConversionFilter

AbstractStreamFilter - Class in elki.datasource.filter

Abstract base class for streaming filters.

AbstractStreamFilter() - Constructor for class elki.datasource.filter.AbstractStreamFilter

AbstractStreamingParser - Class in elki.datasource.parser

Base class for streaming parsers.

AbstractStreamingParser(CSVReaderFormat) - Constructor for class elki.datasource.parser.AbstractStreamingParser

Constructor.

AbstractStreamingParser.Par - Class in elki.datasource.parser

Parameterization class.

AbstractSupervisedProjectionVectorFilter<V extends elki.data.NumberVector> - Class in elki.datasource.filter.transform

Base class for supervised projection methods.

AbstractSupervisedProjectionVectorFilter(int) - Constructor for class elki.datasource.filter.transform.AbstractSupervisedProjectionVectorFilter

Constructor.

AbstractVectorConversionFilter<I,O extends elki.data.NumberVector> - Class in elki.datasource.filter

Abstract class for filters that produce number vectors.

AbstractVectorConversionFilter() - Constructor for class elki.datasource.filter.AbstractVectorConversionFilter

AbstractVectorStreamConversionFilter<I,O extends elki.data.NumberVector> - Class in elki.datasource.filter

Abstract base class for streaming filters that produce vectors.

AbstractVectorStreamConversionFilter() - Constructor for class elki.datasource.filter.AbstractVectorStreamConversionFilter

alpha - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization

Expected outlier rate alpha.

alpha - Variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par

Expected outlier rate alpha.

ALPHA_ID - Static variable in class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization.Par

Shape parameter.

ARFF_COMMENT - Static variable in class elki.datasource.parser.ArffParser

Comment pattern.

ARFF_HEADER_ATTRIBUTE - Static variable in class elki.datasource.parser.ArffParser

Arff attribute declaration marker.

ARFF_HEADER_DATA - Static variable in class elki.datasource.parser.ArffParser

Arff data marker.

ARFF_HEADER_RELATION - Static variable in class elki.datasource.parser.ArffParser

Arff file marker.

ARFF_NUMERIC - Static variable in class elki.datasource.parser.ArffParser

Pattern for numeric columns.

ArffParser - Class in elki.datasource.parser

Parser to load WEKA .arff files into ELKI.

ArffParser(String, String) - Constructor for class elki.datasource.parser.ArffParser

Constructor.

ArffParser(Pattern, Pattern) - Constructor for class elki.datasource.parser.ArffParser

Constructor.

ArffParser.Par - Class in elki.datasource.parser

Parameterization class.

ArrayAdapterDatabaseConnection - Class in elki.datasource

Import an existing data matrix (double[rows][cols]) into an ELKI database.

ArrayAdapterDatabaseConnection(double[][]) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection

Constructor.

ArrayAdapterDatabaseConnection(double[][], String[]) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection

Constructor.

ArrayAdapterDatabaseConnection(double[][], String[], Integer) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection

Constructor.

ArrayAdapterDatabaseConnection(double[][], String[], Integer, List<ObjectFilter>) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection

Constructor.

ArrayAdapterDatabaseConnection(double[][], String[], List<ObjectFilter>) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection

Constructor.

ArrayAdapterDatabaseConnection(double[][], List<ObjectFilter>) - Constructor for class elki.datasource.ArrayAdapterDatabaseConnection

Constructor.

asMultipleObjectsBundle() - Method in class elki.datasource.filter.AbstractStreamFilter

asMultipleObjectsBundle() - Method in class elki.datasource.parser.AbstractStreamingParser

assignDBID(DBIDVar) - Method in class elki.datasource.filter.AbstractStreamFilter

assignDBID(DBIDVar) - Method in class elki.datasource.parser.AbstractStreamingParser

ATTRIBUTE_CONCATENATION - Static variable in class elki.datasource.parser.CSVReaderFormat

A sign to separate attributes.

attributes - Variable in class elki.datasource.parser.NumberVectorLabelParser

Double array storing the numerical attributes during parsing.

AttributeWiseBetaNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Project the data using a Beta distribution.

AttributeWiseBetaNormalization(List<? extends DistributionEstimator<?>>, double) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseBetaNormalization

Constructor.

AttributeWiseBetaNormalization.Par<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Parameterization class.

AttributeWiseCDFNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Class to perform and undo a normalization on real vectors by estimating the distribution of values along each dimension independently, then rescaling objects to the cumulative density function (CDF) value at the original coordinate.

AttributeWiseCDFNormalization(List<? extends DistributionEstimator<?>>) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseCDFNormalization

Constructor.

AttributeWiseCDFNormalization.Par<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Parameterization class.

AttributeWiseMADNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Median Absolute Deviation is used for scaling the data set as follows:

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

Constructor.

AttributeWiseMeanNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Normalization designed for data with a meaningful zero:
The 0 is retained, and the data is linearly scaled to have a mean of 1, by projection with f(x) = x / mean(X).

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

Constructor.

AttributeWiseMeanNormalization(double[]) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMeanNormalization

Constructor.

AttributeWiseMinMaxNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Class to perform and undo a normalization on real vectors with respect to a given minimum and maximum in each dimension.

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

Constructor.

AttributeWiseMinMaxNormalization(double[], double[]) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseMinMaxNormalization

Constructor.

AttributeWiseMinMaxNormalization.Par<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Parameterization class.

AttributeWiseVarianceNormalization<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.

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

Constructor.

AttributeWiseVarianceNormalization(double[], double[]) - Constructor for class elki.datasource.filter.normalization.columnwise.AttributeWiseVarianceNormalization

Constructor.

AttributeWiseVarianceNormalization.Par<V extends elki.data.NumberVector> - Class in elki.datasource.filter.normalization.columnwise

Parameterization class.

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