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Packages that use DoubleParameter | |
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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.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. |
Uses of DoubleParameter in de.lmu.ifi.dbs.elki.algorithm |
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Fields in de.lmu.ifi.dbs.elki.algorithm declared as DoubleParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as DoubleParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as DoubleParameter | |
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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 |
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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as DoubleParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as DoubleParameter | |
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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. |
Uses of DoubleParameter in de.lmu.ifi.dbs.elki.application |
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Fields in de.lmu.ifi.dbs.elki.application declared as DoubleParameter | |
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private DoubleParameter |
GeneratorXMLSpec.SIZE_SCALE_PARAM
Parameter to give the configuration file |
Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.distancefunction |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction declared as DoubleParameter | |
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private DoubleParameter |
LPNormDistanceFunction.P_PARAM
P parameter |
Uses of DoubleParameter in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation declared as DoubleParameter | |
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private static 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 |
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. |
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.timeseries |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries declared as DoubleParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel declared as DoubleParameter | |
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private DoubleParameter |
PolynomialKernelFunction.DEGREE_PARAM
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Uses of DoubleParameter in de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
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Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as DoubleParameter | |
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private DoubleParameter |
PercentageEigenPairFilter.ALPHA_PARAM
Parameter alpha. |
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 |
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Fields in de.lmu.ifi.dbs.elki.preprocessing declared as DoubleParameter | |
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private DoubleParameter |
HiSCPreprocessor.ALPHA_PARAM
Alpha parameter |
private DoubleParameter |
FourCPreprocessor.DELTA_PARAM
Option string for parameter delta. |
private DoubleParameter |
PreDeConPreprocessor.DELTA_PARAM
Parameter for Delta |
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