Uses of Interface
de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberArrayAdapter

Packages that use NumberArrayAdapter

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.datasource.filter.normalization	Data normalization.
de.lmu.ifi.dbs.elki.datasource.parser	Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.math.statistics	Statistical tests and methods.
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator	Estimators for statistical distributions.
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta	Meta estimators: estimators that do not actually estimate themselves, but instead use other estimators, e.g. on a trimmed data set, or as an ensemble.
de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike	Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.
de.lmu.ifi.dbs.elki.utilities.scaling.outlier	Scaling of Outlier scores, that require a statistical analysis of the occurring values

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.algorithm.outlier

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as NumberArrayAdapter

Modifier and Type	Field and Description
private static NumberArrayAdapter<Double,double[]>	COP.SHORTENED_ARRAY A clone of DoubleArrayAdapter that only uses the first 85% of the array!

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.data

Methods in de.lmu.ifi.dbs.elki.data with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
<A> ByteVector	ByteVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> SparseByteVector	SparseByteVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> SparseFloatVector	SparseFloatVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> FloatVector	FloatVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> DoubleVector	DoubleVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> OneDimensionalDoubleVector	OneDimensionalDoubleVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> SparseDoubleVector	SparseDoubleVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> SparseShortVector	SparseShortVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> SparseIntegerVector	SparseIntegerVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> IntegerVector	IntegerVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> V	NumberVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter) Instantiate from any number-array like object.
<A> ShortVector	ShortVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)
<A> BitVector	BitVector.Factory.newNumberVector(A array, NumberArrayAdapter<?,? super A> adapter)

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.datasource.filter.normalization

Classes in de.lmu.ifi.dbs.elki.datasource.filter.normalization that implement NumberArrayAdapter

Modifier and Type	Class and Description
private static class	AttributeWiseCDFNormalization.Adapter Array adapter class for vectors.

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.datasource.parser

Methods in de.lmu.ifi.dbs.elki.datasource.parser with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
protected <A> V	NumberVectorLabelParser.createDBObject(A attributes, NumberArrayAdapter<?,A> adapter) Creates a database object of type V.

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.math.statistics

Methods in de.lmu.ifi.dbs.elki.math.statistics with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
static <A> double[]	ProbabilityWeightedMoments.alphaBetaPWM(A data, NumberArrayAdapter<?,A> adapter, int nmom) Compute the alpha_r and beta_r factors in parallel using the method of probability-weighted moments.
static <A> double[]	ProbabilityWeightedMoments.alphaPWM(A data, NumberArrayAdapter<?,A> adapter, int nmom) Compute the alpha_r factors using the method of probability-weighted moments.
static <A> double[]	ProbabilityWeightedMoments.betaPWM(A data, NumberArrayAdapter<?,A> adapter, int nmom) Compute the beta_r factors using the method of probability-weighted moments.
static <A> double[]	ProbabilityWeightedMoments.samLMR(A sorted, NumberArrayAdapter<?,A> adapter, int nmom) Compute the sample L-Moments using probability weighted moments.

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Methods in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
<A> D	AbstractMeanVarianceEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> RayleighDistribution	RayleighMLEEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	AbstractLogMADEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	AbstractExpMADEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> LogGammaDistribution	LogGammaChoiWetteEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> LaplaceDistribution	LaplaceMLEEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	AbstractLogMOMEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> UniformDistribution	UniformMinMaxEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> GammaDistribution	GammaChoiWetteEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> WeibullDistribution	WeibullLogMOMEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	AbstractMOMEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	AbstractMADEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	DistributionEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter) General form of the parameter estimation
<A> D	AbstractLMMEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> NormalDistribution	NormalLevenbergMarquardtKDEEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> LogNormalDistribution	LogNormalLevenbergMarquardtKDEEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> UniformDistribution	UniformEnhancedMinMaxEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> WaldDistribution	WaldMLEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	AbstractLogMeanVarianceEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
static <A> double	AbstractLogMOMEstimator.min(A data, NumberArrayAdapter<?,A> adapter, double minmin, double margin) Utility function to find minimum and maximum values.

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta

Methods in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
<A> D	TrimmedEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> Distribution	BestFitEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)
<A> D	WinsorisingEstimator.estimate(A data, NumberArrayAdapter<?,A> adapter)

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike

Classes in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike that implement NumberArrayAdapter

Modifier and Type	Class and Description
(package private) class	DoubleArrayAdapter Use a double array as, well, double array in the ArrayAdapter API.
(package private) class	FlatMatrixAdapter Use a matrix as array, by flattening it into a sequence.
(package private) class	FloatArrayAdapter Use a double array as, well, double array in the ArrayAdapter API.
class	NumberListArrayAdapter<T extends Number> Static adapter class to use a List in an array of number API.
class	NumberVectorAdapter<N extends Number> Adapter to use a feature vector as an array of features.
class	SubsetNumberArrayAdapter<T extends Number,A> Subset array adapter (allows reordering and projection)
class	TDoubleListAdapter Adapter for using Trove TDoubleLists as array-like.
class	VectorAdapter Adapter to use a feature vector as an array of features.

Fields in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike declared as NumberArrayAdapter

Modifier and Type	Field and Description
static NumberArrayAdapter<Double,double[]>	ArrayLikeUtil.DOUBLEARRAYADAPTER Use a double array in the array API.
static NumberArrayAdapter<Float,float[]>	ArrayLikeUtil.FLOATARRAYADAPTER Use a float array in the array API.
static NumberArrayAdapter<Double,Vector>	ArrayLikeUtil.VECTORADAPTER Adapter for vectors.
(package private) NumberArrayAdapter<T,? super A>	SubsetNumberArrayAdapter.wrapped Wrapped adapter

Methods in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike that return NumberArrayAdapter

Modifier and Type	Method and Description
static NumberArrayAdapter<Double,double[]>	ArrayLikeUtil.doubleArrayAdapter() Get the adapter for double arrays.
static <T extends Number> NumberArrayAdapter<T,List<? extends T>>	ArrayLikeUtil.numberListAdapter(List<? extends T> dummy) Cast the static instance.

Methods in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
static <A> int	ArrayLikeUtil.getIndexOfMaximum(A array, NumberArrayAdapter<?,A> adapter) Returns the index of the maximum of the given values.
static <A> double[]	ArrayLikeUtil.toPrimitiveDoubleArray(A array, NumberArrayAdapter<?,? super A> adapter) Convert a numeric array-like to a double[].
static <A> float[]	ArrayLikeUtil.toPrimitiveFloatArray(A array, NumberArrayAdapter<?,? super A> adapter) Convert a numeric array-like to a float[].
static <A> int[]	ArrayLikeUtil.toPrimitiveIntegerArray(A array, NumberArrayAdapter<?,? super A> adapter) Convert a numeric array-like to a int[].

Constructors in de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike with parameters of type NumberArrayAdapter

Constructor and Description
SubsetNumberArrayAdapter(NumberArrayAdapter<T,? super A> wrapped, int[] offs) Constructor.

Uses of NumberArrayAdapter in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Methods in de.lmu.ifi.dbs.elki.utilities.scaling.outlier with parameters of type NumberArrayAdapter

Modifier and Type	Method and Description
private <A> double[]	SigmoidOutlierScalingFunction.MStepLevenbergMarquardt(double a, double b, BitSet t, A array, NumberArrayAdapter<?,A> adapter) M-Step using a modified Levenberg-Marquardt method.
<A> void	SqrtStandardDeviationScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	OutlierGammaScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	OutlierSqrtScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	MultiplicativeInverseScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	MixtureModelOutlierScalingFunction.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	OutlierScalingFunction.prepare(A array, NumberArrayAdapter<?,A> adapter) Prepare is called once for each data set, before getScaled() will be called.
<A> void	StandardDeviationScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	TopKOutlierScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	OutlierMinusLogScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	HeDESNormalizationOutlierScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	SigmoidOutlierScalingFunction.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	COPOutlierScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	OutlierLinearScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)
<A> void	RankingPseudoOutlierScaling.prepare(A array, NumberArrayAdapter<?,A> adapter)