Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

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 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
 

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

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 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
 

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
          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
 

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


Release 0.2.1 (2009-07-13_1605)