Uses of Class
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleParameter

Packages that use DoubleParameter

de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.application	Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries	Distance functions designed for time series.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.preprocessing	Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.
de.lmu.ifi.dbs.elki.utilities.referencepoints	Package containing strategies to obtain reference points Shared code for various algorithms that use reference points.
de.lmu.ifi.dbs.elki.utilities.scaling	Scaling functions: linear, logarithmic, gamma, clipping, ...
de.lmu.ifi.dbs.elki.utilities.scaling.outlier	Scaling of Outlier scores, that require a statistical analysis of the occurring values
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d	Visualizers based on 2D projections.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.algorithm

Fields in de.lmu.ifi.dbs.elki.algorithm declared as DoubleParameter

private DoubleParameter	APRIORI.MINFREQ_PARAM Optional parameter to specify the threshold for minimum frequency, must be a double greater than or equal to 0 and less than or equal to 1.
DoubleParameter	KNNDistanceOrder.PERCENTAGE_PARAM Parameter to specify the average percentage of distances randomly choosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.algorithm.clustering

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as DoubleParameter

private DoubleParameter

EM.DELTA_PARAM Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as DoubleParameter

private DoubleParameter	HiCO.ALPHA_PARAM The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
private DoubleParameter	ORCLUS.ALPHA_PARAM Parameter to specify the factor for reducing the number of current clusters in each iteration, must be an integer greater than 0 and less than 1.
private DoubleParameter	HiCO.DELTA_PARAM Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
private DoubleParameter	CASH.JITTER_PARAM Parameter to specify the maximum jitter for distance values, must be a double greater than 0.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as DoubleParameter

private DoubleParameter	HiSC.ALPHA_PARAM The maximum absolute variance along a coordinate axis.
private DoubleParameter	DiSH.EPSILON_PARAM Parameter that specifies the maximum radius of the neighborhood to be considered in each dimension for determination of the preference vector, must be a double equal to or greater than 0.
private DoubleParameter	CLIQUE.TAU_PARAM Parameter to specify the density threshold for the selectivity of a unit, where the selectivity is the fraction of total feature vectors contained in this unit, must be a double greater than 0 and less than 1.

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

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

private DoubleParameter	LOCI.ALPHA_PARAM Parameter to specify the averaging neighborhood scaling Key: -loci.alpha Default: 0.5
DoubleParameter	SOD.ALPHA_PARAM Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.
private DoubleParameter	GaussianUniformMixture.C_PARAM Parameter to specify the cutoff, Key: -mmo.c
private DoubleParameter	GaussianUniformMixture.L_PARAM Parameter to specify the fraction of expected outliers, Key: -mmo.l
private DoubleParameter	LoOP.LAMBDA_PARAM Parameter to specify the number of nearest neighbors of an object to be considered for computing its LOOP_SCORE, must be an integer greater than 1.
private DoubleParameter	INFLO.M_PARAM Parameter to specify if any object is a Core Object must be a double greater than 0.0 see paper "Two-way search method" 3.2 Key: -inflo.m
private DoubleParameter	DBOutlierDetection.P_PARAM Parameter to specify the minimum fraction of objects that must be outside the D- neighborhood of an outlier, Key: -dbod.p

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.application

Fields in de.lmu.ifi.dbs.elki.application declared as DoubleParameter

private DoubleParameter

GeneratorXMLSpec.SIZE_SCALE_PARAM Parameter to give the configuration file

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.distancefunction

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction declared as DoubleParameter

private DoubleParameter

LPNormDistanceFunction.P_PARAM P parameter

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation declared as DoubleParameter

private DoubleParameter	PCABasedCorrelationDistanceFunction.DELTA_PARAM Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
private DoubleParameter	ERiCDistanceFunction.DELTA_PARAM Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all stroneg eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
private DoubleParameter	ERiCDistanceFunction.TAU_PARAM Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace declared as DoubleParameter

private DoubleParameter

AbstractPreferenceVectorBasedCorrelationDistanceFunction.EPSILON_PARAM Parameter to specify the maximum distance between two vectors with equal preference vectors before considering them as parallel, must be a double equal to or greater than 0.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries declared as DoubleParameter

protected DoubleParameter	AbstractEditDistanceFunction.BANDSIZE_PARAM BANDSIZE parameter
private DoubleParameter	EDRDistanceFunction.DELTA_PARAM DELTA parameter
private DoubleParameter	ERPDistanceFunction.G_PARAM G parameter
private DoubleParameter	LCSSDistanceFunction.PDELTA_PARAM PDELTA parameter
private DoubleParameter	LCSSDistanceFunction.PEPSILON_PARAM PEPSILON parameter

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Fields in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel declared as DoubleParameter

private DoubleParameter

PolynomialKernelFunction.DEGREE_PARAM

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as DoubleParameter

private DoubleParameter	PercentageEigenPairFilter.ALPHA_PARAM The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
private DoubleParameter	PCAFilteredRunner.BIG_PARAM Parameter to specify a constant big value to reset high eigenvalues, must be a double greater than 0.
private DoubleParameter	LimitEigenPairFilter.DELTA_PARAM Parameter delta
private DoubleParameter	ProgressiveEigenPairFilter.PALPHA_PARAM Parameter progressive alpha.
private DoubleParameter	RelativeEigenPairFilter.RALPHA_PARAM Parameter relative alpha.
private DoubleParameter	PCAFilteredRunner.SMALL_PARAM Parameter to specify a constant small value to reset low eigenvalues, must be a double greater than 0.
private DoubleParameter	WeakEigenPairFilter.WALPHA_PARAM Parameter weak alpha.
private DoubleParameter	ProgressiveEigenPairFilter.WALPHA_PARAM Parameter weak alpha.
private DoubleParameter	SignificantEigenPairFilter.WALPHA_PARAM Parameter weak alpha.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.preprocessing

Fields in de.lmu.ifi.dbs.elki.preprocessing declared as DoubleParameter

private DoubleParameter	HiSCPreprocessor.ALPHA_PARAM The maximum absolute variance along a coordinate axis.
private DoubleParameter	FourCPreprocessor.DELTA_PARAM Option string for parameter delta.
private DoubleParameter	PreDeConPreprocessor.DELTA_PARAM Parameter for Delta

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.utilities.referencepoints

Fields in de.lmu.ifi.dbs.elki.utilities.referencepoints declared as DoubleParameter

private DoubleParameter	GridBasedReferencePoints.GRID_SCALE_PARAM Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.
private DoubleParameter	RandomGeneratedReferencePoints.SCALE_PARAM Parameter for additional scaling of the space, to allow out-of-space reference points.
private DoubleParameter	StarBasedReferencePoints.SCALE_PARAM Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.
private DoubleParameter	AxisBasedReferencePoints.SPACE_SCALE_PARAM Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.utilities.scaling

Fields in de.lmu.ifi.dbs.elki.utilities.scaling declared as DoubleParameter

private DoubleParameter	ClipScaling.MAX_PARAM Parameter to specify the maximum value Key: -clipscale.max
private DoubleParameter	ClipScaling.MIN_PARAM Parameter to specify a fixed minimum to use.

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

Fields in de.lmu.ifi.dbs.elki.utilities.scaling.outlier declared as DoubleParameter

private DoubleParameter	SqrtStandardDeviationScaling.LAMBDA_PARAM Parameter to specify the lambda value Key: -sqrtstddevscale.lambda
private DoubleParameter	StandardDeviationScaling.LAMBDA_PARAM Parameter to specify the lambda value Key: -stddevscale.lambda
private DoubleParameter	OutlierLinearScaling.MAX_PARAM Parameter to specify the lambda value Key: -linearscale.max
private DoubleParameter	OutlierSqrtScaling.MAX_PARAM Parameter to specify the fixed maximum to use.
private DoubleParameter	SqrtStandardDeviationScaling.MEAN_PARAM Parameter to specify a fixed mean to use.
private DoubleParameter	StandardDeviationScaling.MEAN_PARAM Parameter to specify a fixed mean to use.
private DoubleParameter	SqrtStandardDeviationScaling.MIN_PARAM Parameter to specify the fixed minimum to use.
private DoubleParameter	OutlierLinearScaling.MIN_PARAM Parameter to specify a fixed minimum to use.
private DoubleParameter	OutlierSqrtScaling.MIN_PARAM Parameter to specify the fixed minimum to use.

Uses of DoubleParameter in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d declared as DoubleParameter

private DoubleParameter

BubbleVisualizer.GAMMA_PARAM Parameter for the gamma-correction.