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

Packages that use OptionID

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.clustering.trivial	Trivial clustering algorithms: all in one, no clusters, label clusterings These methods are mostly useful for providing a reference result in evaluation.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood	Spatial outlier neighborhood classes
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted	Weighted Neighborhood definitions.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
de.lmu.ifi.dbs.elki.application	Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.application.cache	Utility applications for the persistence layer such as distance cache builders.
de.lmu.ifi.dbs.elki.application.internal	Internal utilities for development.
de.lmu.ifi.dbs.elki.application.jsmap	JavaScript based map client - server architecture.
de.lmu.ifi.dbs.elki.application.visualization	Visualization applications in ELKI.
de.lmu.ifi.dbs.elki.data.images	Package for processing image data (e.g. compute color histograms)
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.datasource	Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.
de.lmu.ifi.dbs.elki.datasource.parser	Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.distancefunction.geo	Geographic (earth) distance functions.
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	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.evaluation.histogram	Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.evaluation.paircounting	Evaluation of clustering results via pair counting.
de.lmu.ifi.dbs.elki.evaluation.roc	Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
de.lmu.ifi.dbs.elki.evaluation.similaritymatrix	Render a distance matrix to visualize a clustering-distance-combination.
de.lmu.ifi.dbs.elki.gui.util	Utility classes for GUIs (e.g. a class to display a logging panel)
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference	Indexes storing preference vectors.
de.lmu.ifi.dbs.elki.index.preprocessed.snn	Indexes providing nearest neighbor sets
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj	Index using a preprocessed local subspaces.
de.lmu.ifi.dbs.elki.index.tree	Tree-based index structures
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	M-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees	Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants	R*-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util	Utilities for R*-Tree and variants.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.utilities.optionhandling	Parameter handling and option descriptions.
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization	Configuration managers See the de.lmu.ifi.dbs.elki.utilities.optionhandling package for documentation!
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters	Classes for various typed parameters.
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	Visualization package of ELKI.
de.lmu.ifi.dbs.elki.visualization.gui	Package to provide a visualization GUI.
de.lmu.ifi.dbs.elki.visualization.projector	Projectors are responsible for finding appropriate projections for data relations.
de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d	Visualizers based on 1D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d	Visualizers based on 2D projections.

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

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

static OptionID	DependencyDerivator.DEPENDENCY_DERIVATOR_RANDOM_SAMPLE Flag to use random sample (use knn query around centroid, if flag is not set).
static OptionID	AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID OptionID for AbstractDistanceBasedAlgorithm.DISTANCE_FUNCTION_ID
static OptionID	KNNJoin.K_ID Parameter that specifies the k-nearest neighbors to be assigned, must be an integer greater than 0.
static OptionID	KNNDistanceOrder.K_ID Parameter to specify the distance of the k-distant object to be assessed, must be an integer greater than 0.
static OptionID	APRIORI.MINFREQ_ID 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.
static OptionID	APRIORI.MINSUPP_ID Parameter to specify the threshold for minimum support as minimally required number of transactions, must be an integer equal to or greater than 0.
static OptionID	DependencyDerivator.OUTPUT_ACCURACY_ID Parameter to specify the threshold for output accuracy fraction digits, must be an integer equal to or greater than 0.
static OptionID	KNNDistanceOrder.PERCENTAGE_ID Parameter to specify the average percentage of distances randomly chosen to be provided in the result, must be a double greater than 0 and less than or equal to 1.
static OptionID	DependencyDerivator.SAMPLE_SIZE_ID Optional parameter to specify the treshold for the size of the random sample to use, must be an integer greater than 0.

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

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

static OptionID	EM.DELTA_ID 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.
static OptionID	OPTICS.EPSILON_ID Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
static OptionID	SNNClustering.EPSILON_ID Parameter to specify the minimum SNN density, must be an integer greater than 0.
static OptionID	DBSCAN.EPSILON_ID Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
static OptionID	AbstractProjectedDBSCAN.EPSILON_ID Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to LocallyWeightedDistanceFunction.
static OptionID	AbstractProjectedDBSCAN.INNER_DISTANCE_FUNCTION_ID Parameter distance function
static OptionID	AbstractProjectedClustering.K_I_ID Parameter to specify the multiplier for the initial number of seeds, must be an integer greater than 0.
static OptionID	KMeans.K_ID Parameter to specify the number of clusters to find, must be an integer greater than 0.
static OptionID	AbstractProjectedClustering.K_ID Parameter to specify the number of clusters to find, must be an integer greater than 0.
static OptionID	EM.K_ID Parameter to specify the number of clusters to find, must be an integer greater than 0.
static OptionID	AbstractProjectedClustering.L_ID Parameter to specify the dimensionality of the clusters to find, must be an integer greater than 0.
static OptionID	AbstractProjectedDBSCAN.LAMBDA_ID Parameter to specify the intrinsic dimensionality of the clusters to find, must be an integer greater than 0.
static OptionID	KMeans.MAXITER_ID Parameter to specify the number of clusters to find, must be an integer greater or equal to 0, where 0 means no limit.
static OptionID	OPTICS.MINPTS_ID Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
static OptionID	SNNClustering.MINPTS_ID Parameter to specify the threshold for minimum number of points in the epsilon-SNN-neighborhood of a point, must be an integer greater than 0.
static OptionID	DeLiClu.MINPTS_ID Parameter to specify the threshold for minimum number of points within a cluster, must be an integer greater than 0.
static OptionID	DBSCAN.MINPTS_ID Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
static OptionID	AbstractProjectedDBSCAN.MINPTS_ID Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
static OptionID	AbstractProjectedDBSCAN.OUTER_DISTANCE_FUNCTION_ID Parameter to specify the distance function to determine the distance between database objects, must extend LocallyWeightedDistanceFunction .
static OptionID	KMeans.SEED_ID Parameter to specify the random generator seed.
static OptionID	EM.SEED_ID Parameter to specify the random generator seed.
static OptionID	SLINK.SLINK_MINCLUSTERS_ID The minimum number of clusters to extract
static OptionID	OPTICSXi.XI_ID Parameter to specify the steepness threshold.
static OptionID	OPTICSXi.XIALG_ID Parameter to specify the actual OPTICS algorithm to use.

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

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

static OptionID	CASH.ADJUST_ID Flag to indicate that an adjustment of the applied heuristic for choosing an interval is performed after an interval is selected.
static OptionID	HiCO.ALPHA_ID The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
static OptionID	ORCLUS.ALPHA_ID 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.
static OptionID	HiCO.DELTA_ID 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.
static OptionID	CASH.JITTER_ID Parameter to specify the maximum jitter for distance values, must be a double greater than 0.
static OptionID	HiCO.K_ID Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0.
static OptionID	CASH.MAXLEVEL_ID Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.
static OptionID	CASH.MINDIM_ID Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.
static OptionID	CASH.MINPTS_ID Parameter to specify the threshold for minimum number of points in a cluster, must be an integer greater than 0.
static OptionID	HiCO.MU_ID Parameter to specify the smoothing factor, must be an integer greater than 0.
static OptionID	COPAC.PARTITION_ALGORITHM_ID Parameter to specify the clustering algorithm to apply to each partition, must extend ClusteringAlgorithm.
static OptionID	COPAC.PARTITION_DISTANCE_ID Parameter to specify the distance function to use inside the partitions AbstractIndexBasedDistanceFunction .
static OptionID	COPAC.PREPROCESSOR_ID Parameter to specify the local PCA preprocessor to derive partition criterion, must extend AbstractFilteredPCAIndex.
static OptionID	ORCLUS.SEED_ID Parameter to specify the random generator seed.

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type parameters of type OptionID

protected Collection<Pair<OptionID,Object>>	COPAC.Parameterizer.algO
private Collection<Pair<OptionID,Object>>	COPAC.partitionAlgorithmParameters Holds the parameters of the algorithm to run on each partition.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type OptionID

COPAC(FilteredLocalPCABasedDistanceFunction<V,?,D> partitionDistanceFunction, Class<? extends ClusteringAlgorithm<Clustering<Model>>> partitionAlgorithm, Collection<Pair<OptionID,Object>> partitionAlgorithmParameters)
Constructor.

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

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

static OptionID	SUBCLU.DISTANCE_FUNCTION_ID The distance function to determine the distance between database objects.
static OptionID	DiSH.EPSILON_ID 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.
static OptionID	SUBCLU.EPSILON_ID Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to AbstractDimensionsSelectingDoubleDistanceFunction.
static OptionID	PROCLUS.M_I_ID Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.
static OptionID	SUBCLU.MINPTS_ID Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
static OptionID	DiSH.MU_ID Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.
static OptionID	CLIQUE.PRUNE_ID Flag to indicate that only subspaces with large coverage (i.e. the fraction of the database that is covered by the dense units) are selected, the rest will be pruned.
static OptionID	PROCLUS.SEED_ID Parameter to specify the random generator seed.
static OptionID	CLIQUE.TAU_ID 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.
static OptionID	CLIQUE.XSI_ID Parameter to specify the number of intervals (units) in each dimension, must be an integer greater than 0.

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type OptionID

private Collection<Pair<OptionID,Object>>	DiSH.opticsAlgorithmParameters Parameters that were given to OPTICS
protected Collection<Pair<OptionID,Object>>	DiSH.Parameterizer.opticsO

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type OptionID

DiSH(double epsilon, DiSHDistanceFunction dishDistance, Collection<Pair<OptionID,Object>> opticsAlgorithmParameters)
Constructor.

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial

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

static OptionID	ByLabelClustering.MULTIPLE_ID Flag to indicate that multiple cluster assignment is possible.
static OptionID	ByLabelClustering.NOISE_ID Flag to indicate that multiple cluster assignment is possible.

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

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

static OptionID	LOCI.ALPHA_ID Parameter to specify the averaging neighborhood scaling.
static OptionID	SOD.ALPHA_ID Parameter to indicate the multiplier for the discriminance value for discerning small from large variances.
static OptionID	GaussianUniformMixture.C_ID Parameter to specify the cutoff.
static OptionID	LoOP.COMPARISON_DISTANCE_FUNCTION_ID The distance function to determine the reachability distance between database objects.
static OptionID	AbstractDBOutlier.D_ID Parameter to specify the size of the D-neighborhood
static OptionID	ABOD.FAST_SAMPLE_ID Parameter for sample size to be used in fast mode.
static OptionID	GaussianModel.INVERT_ID OptionID for inversion flag.
static OptionID	INFLO.K_ID Parameter to specify the number of nearest neighbors of an object to be considered for computing its INFLO_SCORE. must be an integer greater than 1.
static OptionID	KNNOutlier.K_ID Parameter to specify the k nearest neighbor
static OptionID	ReferenceBasedOutlierDetection.K_ID Parameter to specify the number of nearest neighbors of an object, to be considered for computing its REFOD_SCORE, must be an integer greater than 1.
static OptionID	AbstractAggarwalYuOutlier.K_ID OptionID for the target dimensionality
static OptionID	ABOD.K_ID Parameter for k, the number of neighbors used in kNN queries.
static OptionID	LDOF.K_ID Parameter to specify the number of nearest neighbors of an object to be considered for computing its LDOF_SCORE, must be an integer greater than 1.
static OptionID	KNNWeightOutlier.K_ID Parameter to specify the k nearest neighbor
static OptionID	LOF.K_ID Parameter to specify the number of nearest neighbors of an object to be considered for computing its LOF_SCORE, must be an integer greater than 1.
static OptionID	LoOP.KCOMP_ID 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.
static OptionID	ABOD.KERNEL_FUNCTION_ID Parameter for the kernel function.
static OptionID	SOD.KNN_ID Parameter to specify the number of shared nearest neighbors to be considered for learning the subspace properties., must be an integer greater than 0.
static OptionID	KNNWeightOutlier.KNNQUERY_ID The kNN query used.
static OptionID	LoOP.KREACH_ID 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.
static OptionID	GaussianUniformMixture.L_ID Parameter to specify the fraction of expected outliers.
static OptionID	LoOP.LAMBDA_ID 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.
static OptionID	INFLO.M_ID 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
static OptionID	AggarwalYuEvolutionary.M_ID Parameter to specify the number of solutions must be an integer greater than 1.
static OptionID	LOCI.NMIN_ID Parameter to specify the minimum neighborhood size
static OptionID	DBOutlierDetection.P_ID Parameter to specify the minimum fraction of objects that must be outside the D- neighborhood of an outlier
static OptionID	AbstractAggarwalYuOutlier.PHI_ID OptionID for the grid size
static OptionID	ABOD.PREPROCESSOR_ID The preprocessor used to materialize the kNN neighborhoods.
static OptionID	LoOP.REACHABILITY_DISTANCE_FUNCTION_ID The distance function to determine the reachability distance between database objects.
static OptionID	LOF.REACHABILITY_DISTANCE_FUNCTION_ID The distance function to determine the reachability distance between database objects.
static OptionID	ReferenceBasedOutlierDetection.REFP_ID Parameter for the reference points heuristic.
static OptionID	LOCI.RMAX_ID Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
static OptionID	AggarwalYuEvolutionary.SEED_ID Parameter to specify the random generator seed.

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

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

static OptionID	FeatureBagging.Parameterizer.BREADTH_ID The flag for using the breadth first approach Key: -fbagging.breadth
static OptionID	ExternalDoubleOutlierScore.Parameterizer.FILE_ID Parameter that specifies the name of the file to be re-parsed.
static OptionID	ExternalDoubleOutlierScore.Parameterizer.ID_ID Parameter that specifies the object ID pattern Key: -externaloutlier.idpattern Default: ^ID=
static OptionID	ExternalDoubleOutlierScore.Parameterizer.INVERTED_ID Flag parameter for inverted scores.
static OptionID	FeatureBagging.Parameterizer.NUM_ID Parameter to specify the number of instances to use in the ensemble.
static OptionID	RescaleMetaOutlierAlgorithm.SCALING_ID Parameter to specify a scaling function to use.
static OptionID	ExternalDoubleOutlierScore.Parameterizer.SCALING_ID Parameter to specify a scaling function to use.
static OptionID	ExternalDoubleOutlierScore.Parameterizer.SCORE_ID Parameter that specifies the object score pattern Key: -externaloutlier.scorepattern
static OptionID	FeatureBagging.Parameterizer.SEED_ID The parameter to specify the random seed Key: -fbagging.seed

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial

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

static OptionID	CTLuGLSBackwardSearchAlgorithm.Parameterizer.ALPHA_ID Holds the alpha value - significance niveau
static OptionID	CTLuRandomWalkEC.Parameterizer.ALPHA_ID Parameter to specify alpha
static OptionID	CTLuRandomWalkEC.Parameterizer.C_ID Parameter to specify the c
static OptionID	CTLuGLSBackwardSearchAlgorithm.Parameterizer.K_ID Parameter to specify the k nearest neighbors
static OptionID	CTLuRandomWalkEC.Parameterizer.K_ID Parameter to specify the number of neighbors
static OptionID	AbstractNeighborhoodOutlier.NEIGHBORHOOD_ID Parameter to specify the neighborhood predicate to use.
static OptionID	AbstractDistanceBasedSpatialOutlier.NON_SPATIAL_DISTANCE_FUNCTION_ID Parameter to specify the non spatial distance function to use
static OptionID	TrimmedMeanApproach.Parameterizer.P_ID Parameter for the percentile value p

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood declared as OptionID

static OptionID	PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer.DISTANCEFUNCTION_ID Parameter to specify the distance function to use
static OptionID	PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer.K_ID Parameter k
static OptionID	ExternalNeighborhood.NEIGHBORHOOD_FILE_ID Parameter to specify the neighborhood file
static OptionID	ExtendedNeighborhood.Factory.Parameterizer.NEIGHBORHOOD_ID Parameter to specify the neighborhood predicate to use.
static OptionID	ExtendedNeighborhood.Factory.Parameterizer.STEPS_ID Parameter to specify the number of steps allowed

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted declared as OptionID

static OptionID	UnweightedNeighborhoodAdapter.Factory.Parameterizer.INNER_ID The parameter to give the non-weighted neighborhood to use.
static OptionID	LinearWeightedExtendedNeighborhood.Factory.Parameterizer.NEIGHBORHOOD_ID Parameter to specify the neighborhood predicate to use.
static OptionID	LinearWeightedExtendedNeighborhood.Factory.Parameterizer.STEPS_ID Parameter to specify the number of steps allowed

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

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

static OptionID

ByLabelOutlier.Parameterizer.OUTLIER_PATTERN_ID The pattern to match outliers with.

Uses of OptionID in de.lmu.ifi.dbs.elki.algorithm.statistics

Fields in de.lmu.ifi.dbs.elki.algorithm.statistics declared as OptionID

static OptionID	DistanceStatisticsWithClasses.EXACT_ID Flag to compute exact value range for binning.
static OptionID	RankingQualityHistogram.HISTOGRAM_BINS_ID Option to configure the number of bins to use.
static OptionID	DistanceStatisticsWithClasses.HISTOGRAM_BINS_ID Option to configure the number of bins to use.
static OptionID	EvaluateRankingQuality.HISTOGRAM_BINS_ID Option to configure the number of bins to use.
static OptionID	DistanceStatisticsWithClasses.SAMPLING_ID Flag to enable sampling

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

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

static OptionID	ComputeSingleColorHistogram.COLORHIST_ID Class parameter for computing the color histogram.
static OptionID	AbstractApplication.INPUT_ID Parameter that specifies the name of the input file.
static OptionID	ComputeSingleColorHistogram.INPUT_ID Parameter that specifies the name of the input file.
static OptionID	AbstractApplication.OUTPUT_ID Parameter that specifies the name of the output file.

Uses of OptionID in de.lmu.ifi.dbs.elki.application.cache

Fields in de.lmu.ifi.dbs.elki.application.cache declared as OptionID

static OptionID	CacheFloatDistanceInOnDiskMatrix.CACHE_ID Parameter that specifies the name of the directory to be re-parsed.
static OptionID	CacheDoubleDistanceInOnDiskMatrix.CACHE_ID Parameter that specifies the name of the directory to be re-parsed.
static OptionID	CacheFloatDistanceInOnDiskMatrix.DISTANCE_ID Parameter that specifies the name of the directory to be re-parsed.
static OptionID	CacheDoubleDistanceInOnDiskMatrix.DISTANCE_ID Parameter that specifies the name of the directory to be re-parsed.

Uses of OptionID in de.lmu.ifi.dbs.elki.application.internal

Methods in de.lmu.ifi.dbs.elki.application.internal with parameters of type OptionID

int	DocumentParameters.SortByOption.compare(OptionID o1, OptionID o2)

Method parameters in de.lmu.ifi.dbs.elki.application.internal with type arguments of type OptionID

private static void	DocumentParameters.buildParameterIndex(HashMapList<Class<?>,Parameter<?,?>> byclass, HashMapList<OptionID,Pair<Parameter<?,?>,Class<?>>> byopt)
private static Document	DocumentParameters.makeByOptOverview(HashMapList<OptionID,Pair<Parameter<?,?>,Class<?>>> byopt)

Uses of OptionID in de.lmu.ifi.dbs.elki.application.jsmap

Fields in de.lmu.ifi.dbs.elki.application.jsmap declared as OptionID

static OptionID

JSONResultHandler.Parameterizer.PORT_ID Port to use for listening

Uses of OptionID in de.lmu.ifi.dbs.elki.application.visualization

Fields in de.lmu.ifi.dbs.elki.application.visualization declared as OptionID

static OptionID

KNNExplorer.DISTANCE_FUNCTION_ID Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

Uses of OptionID in de.lmu.ifi.dbs.elki.data.images

Fields in de.lmu.ifi.dbs.elki.data.images declared as OptionID

static OptionID	ComputeNaiveHSBColorHistogram.BINSPERPLANE_ID Parameter that specifies the number of bins (per plane) to use.
static OptionID	ComputeNaiveRGBColorHistogram.BINSPERPLANE_ID Parameter that specifies the number of bins (per plane) to use.
static OptionID	ComputeHSBColorHistogram.BINSPERPLANE_ID Parameter that specifies the number of bins (per plane) to use.

Uses of OptionID in de.lmu.ifi.dbs.elki.database

Fields in de.lmu.ifi.dbs.elki.database declared as OptionID

static OptionID

AbstractDatabase.INDEX_ID Parameter to specify the indexes to use.

Uses of OptionID in de.lmu.ifi.dbs.elki.datasource

Fields in de.lmu.ifi.dbs.elki.datasource declared as OptionID

static OptionID	GeneratorXMLDatabaseConnection.CONFIGFILE_ID Parameter to give the configuration file
static OptionID	RandomDoubleVectorDatabaseConnection.Parameterizer.DIM_ID Database to specify the random vector dimensionality Key: -dbc.dim
static OptionID	AbstractDatabaseConnection.FILTERS_ID Filters to apply to the input data.
static OptionID	FileBasedDatabaseConnection.INPUT_ID Parameter that specifies the name of the input file to be parsed.
static OptionID	InputStreamDatabaseConnection.PARSER_ID Parameter to specify the parser to provide a database.
static OptionID	GeneratorXMLDatabaseConnection.RANDOMSEED_ID Parameter to give the configuration file
static OptionID	RandomDoubleVectorDatabaseConnection.Parameterizer.SEED_ID Random generator seed.
static OptionID	RandomDoubleVectorDatabaseConnection.Parameterizer.SIZE_ID Parameter to specify the database size to generate.
static OptionID	GeneratorXMLDatabaseConnection.SIZE_SCALE_ID Parameter to give the configuration file
static OptionID	ExternalIDJoinDatabaseConnection.Parameterizer.SOURCES_ID The static option ID
static OptionID	LabelJoinDatabaseConnection.Parameterizer.SOURCES_ID The static option ID

Uses of OptionID in de.lmu.ifi.dbs.elki.datasource.filter

Fields in de.lmu.ifi.dbs.elki.datasource.filter declared as OptionID

static OptionID	ClassLabelFilter.CLASS_LABEL_CLASS_ID Parameter to specify the class of occurring class labels.
static OptionID	ClassLabelFilter.CLASS_LABEL_INDEX_ID Optional parameter that specifies the index of the label to be used as class label, must be an integer equal to or greater than 0.
static OptionID	ExternalIDFilter.EXTERNALID_INDEX_ID Optional parameter that specifies the index of the label to be used as external Id, must be an integer equal to or greater than 0.
static OptionID	FixedDBIDsFilter.IDSTART_ID Optional parameter to specify the first object ID to use.
static OptionID	FilterByLabelFilter.Parameterizer.LABELFILTER_PATTERN_ID Parameter that specifies the filter pattern (regular expression).
static OptionID	FilterByLabelFilter.Parameterizer.LABELFILTER_PATTERN_INVERT_ID Flag to use the pattern in inverted mode Key: -patternfilter.invert
static OptionID	AttributeWiseMinMaxNormalization.MAXIMA_ID Parameter for maximum.
static OptionID	AttributeWiseVarianceNormalization.MEAN_ID Parameter for means.
static OptionID	AttributeWiseMinMaxNormalization.MINIMA_ID Parameter for minimum.
static OptionID	AbstractRandomFeatureSelectionFilter.NUMBER_SELECTED_ATTRIBUTES_ID Parameter for the desired cardinality of the subset of attributes selected for projection.
static OptionID	ShuffleObjectsFilter.SEED_ID Optional parameter to specify a seed for randomly shuffling the rows of the database.
static OptionID	SplitNumberVectorFilter.Parameterizer.SELECTED_ATTRIBUTES_ID The parameter listing the split dimensions.
static OptionID	AbstractFeatureSelectionFilter.SELECTED_ATTRIBUTES_ID Selected attributes parameter.
static OptionID	AttributeWiseVarianceNormalization.STDDEV_ID Parameter for stddevs.

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

Fields in de.lmu.ifi.dbs.elki.datasource.parser declared as OptionID

static OptionID	AbstractParser.COLUMN_SEPARATOR_ID OptionID for the column separator parameter (defaults to whitespace as in AbstractParser.WHITESPACE_PATTERN.
static OptionID	NumberDistanceParser.DISTANCE_FUNCTION_ID Parameter for distance function.
static OptionID	NumberVectorLabelParser.LABEL_INDICES_ID A comma separated list of the indices of labels (may be numeric), counting whitespace separated entries in a line starting with 0.
static OptionID	ArffParser.Parameterizer.MAGIC_CLASS_ID Pattern for recognizing class label attributes.
static OptionID	ArffParser.Parameterizer.MAGIC_EID_ID Pattern for recognizing external ID attributes.
static OptionID	AbstractParser.QUOTE_ID OptionID for the quote character parameter (defaults to a double quotation mark as in AbstractParser.QUOTE_CHAR.

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

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

static OptionID	MinKDistance.DISTANCE_FUNCTION_ID OptionID for the base distance used to compute reachability
static OptionID	IndexBasedDistanceFunction.INDEX_ID OptionID for the index parameter
static OptionID	MinKDistance.K_ID OptionID for the "k" parameter.
static OptionID	MinKDistance.KNNQUERY_ID OptionID for the KNN query class to use (preprocessor, approximation, ...)
static OptionID	LPNormDistanceFunction.P_ID OptionID for the "p" parameter

Uses of OptionID in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

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

static OptionID

AbstractSimilarityAdapter.SIMILARITY_FUNCTION_ID Parameter to specify the similarity function to derive the distance between database objects from.

Uses of OptionID in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

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

static OptionID	HSBHistogramQuadraticDistanceFunction.BPP_ID Parameter for the kernel dimensionality.
static OptionID	RGBHistogramQuadraticDistanceFunction.BPP_ID Parameter for the kernel dimensionality.

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

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

static OptionID	PCABasedCorrelationDistanceFunction.DELTA_ID 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.
static OptionID	ERiCDistanceFunction.DELTA_ID 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 strong 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.
static OptionID	ERiCDistanceFunction.TAU_ID 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 OptionID in de.lmu.ifi.dbs.elki.distance.distancefunction.external

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

static OptionID	FileBasedDoubleDistanceFunction.MATRIX_ID Parameter that specifies the name of the distance matrix file.
static OptionID	FileBasedFloatDistanceFunction.MATRIX_ID Parameter that specifies the name of the distance matrix file.
static OptionID	DiskCacheBasedDoubleDistanceFunction.MATRIX_ID Parameter that specifies the name of the distance matrix file.
static OptionID	DiskCacheBasedFloatDistanceFunction.MATRIX_ID Parameter that specifies the name of the distance matrix file.
static OptionID	FileBasedDoubleDistanceFunction.PARSER_ID Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
static OptionID	FileBasedFloatDistanceFunction.PARSER_ID Optional parameter to specify the parsers to provide a database, must extend DistanceParser.

Uses of OptionID in de.lmu.ifi.dbs.elki.distance.distancefunction.geo

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

static OptionID	DimensionSelectingLatLngDistanceFunction.Parameterizer.LATDIM_ID Latitude dimension parameter.
static OptionID	DimensionSelectingLatLngDistanceFunction.Parameterizer.LNGDIM_ID Longitude dimension parameter.

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

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

static OptionID	DimensionSelectingDistanceFunction.DIM_ID Parameter for dimensionality.
static OptionID	AbstractDimensionsSelectingDoubleDistanceFunction.DIMS_ID Dimensions parameter.
static OptionID	AbstractPreferenceVectorBasedCorrelationDistanceFunction.EPSILON_ID 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 OptionID in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

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

static OptionID	AbstractEditDistanceFunction.BANDSIZE_ID BANDSIZE parameter
static OptionID	EDRDistanceFunction.DELTA_ID DELTA parameter
static OptionID	ERPDistanceFunction.G_ID G parameter
static OptionID	LCSSDistanceFunction.PDELTA_ID PDELTA parameter
static OptionID	LCSSDistanceFunction.PEPSILON_ID PEPSILON parameter

Uses of OptionID in de.lmu.ifi.dbs.elki.distance.similarityfunction

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

static OptionID

AbstractIndexBasedSimilarityFunction.INDEX_ID Parameter to specify the preprocessor to be used.

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

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

static OptionID	PolynomialKernelFunction.DEGREE_ID Degree parameter
static OptionID	FooKernelFunction.MAX_DEGREE_ID Parameter for the maximum degree

Uses of OptionID in de.lmu.ifi.dbs.elki.evaluation.histogram

Fields in de.lmu.ifi.dbs.elki.evaluation.histogram declared as OptionID

static OptionID	ComputeOutlierHistogram.BINS_ID number of bins for the histogram Default value: EuclideanDistanceFunction Key: -comphist.bins
static OptionID	ComputeOutlierHistogram.POSITIVE_CLASS_NAME_ID The object pattern to identify positive classes Key: -comphist.positive
static OptionID	ComputeOutlierHistogram.SCALING_ID Parameter to specify a scaling function to use.
static OptionID	ComputeOutlierHistogram.SPLITFREQ_ID Flag to count frequencies of outliers and non-outliers separately Key: -histogram.splitfreq

Uses of OptionID in de.lmu.ifi.dbs.elki.evaluation.outlier

Fields in de.lmu.ifi.dbs.elki.evaluation.outlier declared as OptionID

static OptionID	JudgeOutlierScores.POSITIVE_CLASS_NAME_ID The distance function to determine the reachability distance between database objects.
static OptionID	JudgeOutlierScores.SCALING_ID Parameter to specify a scaling function to use.

Uses of OptionID in de.lmu.ifi.dbs.elki.evaluation.paircounting

Fields in de.lmu.ifi.dbs.elki.evaluation.paircounting declared as OptionID

static OptionID	EvaluatePairCountingFMeasure.NOISE_ID Parameter flag for special noise handling.
static OptionID	EvaluatePairCountingFMeasure.REFERENCE_ID Parameter to obtain the reference clustering.

Uses of OptionID in de.lmu.ifi.dbs.elki.evaluation.roc

Fields in de.lmu.ifi.dbs.elki.evaluation.roc declared as OptionID

static OptionID

ComputeROCCurve.POSITIVE_CLASS_NAME_ID The pattern to identify positive classes.

Uses of OptionID in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix

Fields in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix declared as OptionID

static OptionID	ComputeSimilarityMatrixImage.SCALING_ID OptionID for the scaling function to use
static OptionID	ComputeSimilarityMatrixImage.SKIPZERO_ID OptionID to skip zero values when plotting to increase contrast.

Uses of OptionID in de.lmu.ifi.dbs.elki.gui.util

Fields in de.lmu.ifi.dbs.elki.gui.util declared as OptionID

protected static OptionID

DynamicParameters.REMAINING_OPTIONS_ID OptionID for unrecognized options.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.knn declared as OptionID

static OptionID	AbstractMaterializeKNNPreprocessor.Factory.DISTANCE_FUNCTION_ID Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
static OptionID	AbstractMaterializeKNNPreprocessor.Factory.K_ID Parameter to specify the number of nearest neighbors of an object to be materialized. must be an integer greater than 1.
static OptionID	PartitionApproximationMaterializeKNNPreprocessor.Factory.PARTITIONS_ID Parameter to specify the number of partitions to use for materializing the kNN.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.localpca declared as OptionID

static OptionID	RangeQueryFilteredPCAIndex.Factory.EPSILON_ID Parameter to specify the maximum radius of the neighborhood to be considered in the PCA, must be suitable to the distance function specified.
static OptionID	KNNQueryFilteredPCAIndex.Factory.K_ID Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0.
static OptionID	AbstractFilteredPCAIndex.Factory.PCA_DISTANCE_ID Parameter to specify the distance function used for running PCA.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.preference declared as OptionID

static OptionID	HiSCPreferenceVectorIndex.Factory.ALPHA_ID The maximum absolute variance along a coordinate axis.
static OptionID	DiSHPreferenceVectorIndex.Factory.EPSILON_ID A comma separated list of positive doubles specifying the maximum radius of the neighborhood to be considered in each dimension for determination of the preference vector (default is DiSHPreferenceVectorIndex.Factory.DEFAULT_EPSILON in each dimension).
static OptionID	HiSCPreferenceVectorIndex.Factory.K_ID The number of nearest neighbors considered to determine the preference vector.
static OptionID	DiSHPreferenceVectorIndex.Factory.MINPTS_ID Positive threshold for minimum numbers of points in the epsilon-neighborhood of a point, must satisfy following DiSHPreferenceVectorIndex.Factory.CONDITION.
static OptionID	DiSHPreferenceVectorIndex.Factory.STRATEGY_ID The strategy for determination of the preference vector, available strategies are: DiSHPreferenceVectorIndex.Strategy.APRIORI and DiSHPreferenceVectorIndex.Strategy.MAX_INTERSECTION.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.snn declared as OptionID

static OptionID	SharedNearestNeighborPreprocessor.Factory.DISTANCE_FUNCTION_ID Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
static OptionID	SharedNearestNeighborPreprocessor.Factory.NUMBER_OF_NEIGHBORS_ID Parameter to indicate the number of neighbors to be taken into account for the shared-nearest-neighbor similarity.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj declared as OptionID

static OptionID

PreDeConSubspaceIndex.Factory.DELTA_ID Parameter for Delta

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree

Fields in de.lmu.ifi.dbs.elki.index.tree declared as OptionID

static OptionID	TreeIndexFactory.CACHE_SIZE_ID Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.
static OptionID	TreeIndexFactory.FILE_ID Optional parameter that specifies the name of the file storing the index.
static OptionID	TreeIndexFactory.PAGE_SIZE_ID Parameter to specify the size of a page in bytes, must be an integer greater than 0.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants declared as OptionID

static OptionID

AbstractMTreeFactory.DISTANCE_FUNCTION_ID Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees declared as OptionID

static OptionID

AbstractMkTreeUnifiedFactory.K_MAX_ID Parameter specifying the maximal number k of reverse k nearest neighbors to be supported, must be an integer greater than 0.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp declared as OptionID

static OptionID	MkAppTreeFactory.K_ID Parameter for k
static OptionID	MkAppTreeFactory.NOLOG_ID Parameter for nolog
static OptionID	MkAppTreeFactory.P_ID Parameter for p

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop declared as OptionID

static OptionID

MkCopTreeFactory.K_ID Parameter for k

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants declared as OptionID

static OptionID	AbstractRStarTreeFactory.BULK_SPLIT_ID Parameter for bulk strategy
static OptionID	AbstractRStarTreeFactory.INSERTION_STRATEGY_ID Fast-insertion parameter.

Uses of OptionID in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.util declared as OptionID

static OptionID

ApproximateLeastOverlapInsertionStrategy.Parameterizer.INSERTION_CANDIDATES_ID Fast-insertion parameter.

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

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

static OptionID	PercentageEigenPairFilter.ALPHA_ID The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
static OptionID	PCAFilteredRunner.BIG_ID Parameter to specify a constant big value to reset high eigenvalues, must be a double greater than 0.
static OptionID	LimitEigenPairFilter.EIGENPAIR_FILTER_ABSOLUTE "absolute" Flag
static OptionID	CompositeEigenPairFilter.EIGENPAIR_FILTER_COMPOSITE_LIST The list of filters to use.
static OptionID	LimitEigenPairFilter.EIGENPAIR_FILTER_DELTA Parameter delta
static OptionID	FirstNEigenPairFilter.EIGENPAIR_FILTER_N Paremeter n
static OptionID	ProgressiveEigenPairFilter.EIGENPAIR_FILTER_PALPHA Parameter progressive alpha.
static OptionID	RelativeEigenPairFilter.EIGENPAIR_FILTER_RALPHA Parameter relative alpha.
static OptionID	WeakEigenPairFilter.EIGENPAIR_FILTER_WALPHA OptionID for the weak alpha value of WeakEigenPairFilter, ProgressiveEigenPairFilter and SignificantEigenPairFilter
static OptionID	PCARunner.PCA_COVARIANCE_MATRIX Parameter to specify the class to compute the covariance matrix, must be a subclass of CovarianceMatrixBuilder.
static OptionID	PCAFilteredRunner.PCA_EIGENPAIR_FILTER Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.
static OptionID	PCAFilteredRunner.SMALL_ID Parameter to specify a constant small value to reset low eigenvalues, must be a double greater than 0.
static OptionID	WeightedCovarianceMatrixBuilder.WEIGHT_ID Parameter to specify the weight function to use in weighted PCA, must implement WeightFunction .

Uses of OptionID in de.lmu.ifi.dbs.elki.result

Fields in de.lmu.ifi.dbs.elki.result declared as OptionID

static OptionID	KMLOutputHandler.Parameterizer.AUTOOPEN_ID Parameter for automatically opening the output file.
static OptionID	KMLOutputHandler.Parameterizer.COMPAT_ID Parameter for compatibility mode.
static OptionID	ResultWriter.GZIP_OUTPUT_ID Flag to control GZIP compression.
static OptionID	ResultWriter.OVERWRITE_OPTION_ID Flag to suppress overwrite warning.
static OptionID	KMLOutputHandler.Parameterizer.SCALING_ID Parameter for scaling functions Key: -kml.scaling

Uses of OptionID in de.lmu.ifi.dbs.elki.utilities.optionhandling

Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling declared as OptionID

static OptionID	OptionID.ALGORITHM OptionID for AlgorithmStep
static OptionID	OptionID.DATABASE OptionID for InputStep
static OptionID	OptionID.DATABASE_CONNECTION OptionID for InputStep
static OptionID	OptionID.DEBUG Optional Parameter to specify a class to enable debugging for.
static OptionID	OptionID.DESCRIPTION Optional Parameter to specify a class to obtain a description for.
static OptionID	OptionID.EVALUATOR OptionID for EvaluationStep
static OptionID	OptionID.HELP Flag to obtain help-message.
static OptionID	OptionID.HELP_LONG Flag to obtain help-message.
static OptionID	OptionID.OUTPUT OptionID for the application output file/folder
static OptionID	OptionID.RESULT_HANDLER OptionID for OutputStep
static OptionID	OptionID.VERBOSE_FLAG Flag to allow verbose messages while running the application.

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling that return OptionID

static OptionID	OptionID.getOptionID(String name) Returns the OptionID for the given name if it exists, null otherwise.
static OptionID	OptionID.getOrCreateOptionID(String name, String description) Gets or creates the OptionID for the given class and given name.

Uses of OptionID in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization with type parameters of type OptionID

(package private) LinkedList<Pair<OptionID,Object>>	ListParameterization.parameters The actual parameters, for storage
private Vector<Pair<OptionID,Object>>	MergedParameterization.used Parameters to rewind.

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization that return types with arguments of type OptionID

Collection<Pair<OptionID,Object>>	TrackParameters.getGivenParameters() Get the tracked parameters that were actually set.
List<Pair<OptionID,Object>>	ListParameterization.getRemainingParameters() Return the yet unused parameters.

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization with parameters of type OptionID

void	ListParameterization.addFlag(OptionID optionid) Add a flag to the parameter list
void	ListParameterization.addParameter(OptionID optionid, Object value) Add a parameter to the parameter list

Constructor parameters in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization with type arguments of type OptionID

ListParameterization(Collection<Pair<OptionID,Object>> dbParameters)
Constructor with an existing collection.

MergedParameterization(Parameterization inner, ListParameterization current, Vector<Pair<OptionID,Object>> used)
Constructor for descending

Uses of OptionID in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters

Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters declared as OptionID

protected OptionID

Parameter.optionid The option name.

Methods in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters that return OptionID

OptionID

Parameter.getOptionID() Return the OptionID of this option.

Constructors in de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters with parameters of type OptionID

ClassListParameter(OptionID optionID, Class<?> restrictionClass)
Constructs a class list parameter with the given optionID and restriction class.

ClassListParameter(OptionID optionID, Class<?> restrictionClass, boolean optional)
Constructs a class list parameter with the given optionID and restriction class.

ClassParameter(OptionID optionID, Class<?> restrictionClass)
Constructs a class parameter with the given optionID, and restriction class.

ClassParameter(OptionID optionID, Class<?> restrictionClass, boolean optional)
Constructs a class parameter with the given optionID, restriction class, and optional flag.

ClassParameter(OptionID optionID, Class<?> restrictionClass, Class<?> defaultValue)
Constructs a class parameter with the given optionID, restriction class, and default value.

DistanceParameter(OptionID optionID, D dist)
Constructs a double parameter with the given optionID.

DistanceParameter(OptionID optionID, D dist, boolean optional)
Constructs a double parameter with the given optionID and optional flag.

DistanceParameter(OptionID optionID, D dist, D defaultValue)
Constructs a double parameter with the given optionID and default value.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist)
Constructs a double parameter with the given optionID.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, boolean optional)
Constructs a double parameter with the given optionID and optional flag.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, D defaultValue)
Constructs a double parameter with the given optionID and default value.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, List<ParameterConstraint<D>> constraints)
Constructs a double parameter with the given optionID, and parameter constraints.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, List<ParameterConstraint<D>> cons, boolean optional)
Constructs a double parameter with the given optionID, parameter constraints, and optional flag.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, List<ParameterConstraint<D>> cons, D defaultValue)
Constructs a double parameter with the given optionID, parameter constraints, and default value.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, ParameterConstraint<D> constraint)
Constructs a double parameter with the given optionID, and parameter constraint.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, ParameterConstraint<D> constraint, boolean optional)
Constructs a double parameter with the given optionID, parameter constraint, and optional flag.

DistanceParameter(OptionID optionID, DistanceFunction<?,D> dist, ParameterConstraint<D> constraint, D defaultValue)
Constructs a double parameter with the given optionID, parameter constraint, and default value.

DistanceParameter(OptionID optionID, D dist, List<ParameterConstraint<D>> constraints)
Constructs a double parameter with the given optionID, and parameter constraints.

DistanceParameter(OptionID optionID, D dist, List<ParameterConstraint<D>> cons, boolean optional)
Constructs a double parameter with the given optionID, parameter constraints, and optional flag.

DistanceParameter(OptionID optionID, D dist, List<ParameterConstraint<D>> cons, D defaultValue)
Constructs a double parameter with the given optionID, parameter constraints, and default value.

DistanceParameter(OptionID optionID, D dist, ParameterConstraint<D> constraint)
Constructs a double parameter with the given optionID, and parameter constraint.

DistanceParameter(OptionID optionID, D dist, ParameterConstraint<D> constraint, boolean optional)
Constructs a double parameter with the given optionID, parameter constraint, and optional flag.

DistanceParameter(OptionID optionID, D dist, ParameterConstraint<D> constraint, D defaultValue)
Constructs a double parameter with the given optionID, parameter constraint, and default value.

DoubleListParameter(OptionID optionID)
Constructs a list parameter with the given optionID.

DoubleListParameter(OptionID optionID, boolean optional)
Constructs a list parameter with the given optionID and optional flag.

DoubleListParameter(OptionID optionID, List<ParameterConstraint<List<Double>>> constraints, boolean optional)
Constructs a list parameter with the given optionID.

DoubleListParameter(OptionID optionID, List<ParameterConstraint<List<Double>>> constraints, List<Double> defaultValue)
Constructs a list parameter with the given optionID.

DoubleListParameter(OptionID optionID, ParameterConstraint<List<Double>> constraint)
Constructs a list parameter with the given optionID.

DoubleListParameter(OptionID optionID, ParameterConstraint<List<Double>> constraint, boolean optional)
Constructs a list parameter with the given optionID.

DoubleListParameter(OptionID optionID, ParameterConstraint<List<Double>> constraint, List<Double> defaultValue)
Constructs a list parameter with the given optionID.

DoubleParameter(OptionID optionID)
Constructs a double parameter with the given optionID.

DoubleParameter(OptionID optionID, boolean optional)
Constructs a double parameter with the given optionID and optional flag.

DoubleParameter(OptionID optionID, Double defaultValue)
Constructs a double parameter with the given optionID and default value.

DoubleParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints)
Constructs a double parameter with the given optionID, and parameter constraints.

DoubleParameter(OptionID optionID, List<ParameterConstraint<Number>> cons, boolean optional)
Constructs a double parameter with the given optionID, parameter constraints, and optional flag.

DoubleParameter(OptionID optionID, List<ParameterConstraint<Number>> cons, Double defaultValue)
Constructs a double parameter with the given optionID, parameter constraints, and default value.

DoubleParameter(OptionID optionID, ParameterConstraint<Number> constraint)
Constructs a double parameter with the given optionID, and parameter constraint.

DoubleParameter(OptionID optionID, ParameterConstraint<Number> constraint, boolean optional)
Constructs a double parameter with the given optionID, parameter constraint, and optional flag.

DoubleParameter(OptionID optionID, ParameterConstraint<Number> constraint, Double defaultValue)
Constructs a double parameter with the given optionID, parameter constraint, and default value.

EnumParameter(OptionID optionID, Class<E> enumClass)
Constructs an enum parameter with the given optionID, constraints and default value.

EnumParameter(OptionID optionID, Class<E> enumClass, boolean optional)
Constructs an enum parameter with the given optionID, constraints and default value.

EnumParameter(OptionID optionID, Class<E> enumClass, E defaultValue)
Constructs an enum parameter with the given optionID, constraints and default value.

FileListParameter(OptionID optionID, FileListParameter.FilesType filesType)
Constructs a file list parameter with the given optionID, and file type.

FileParameter(OptionID optionID, FileParameter.FileType fileType)
Constructs a file parameter with the given optionID, and file type.

FileParameter(OptionID optionID, FileParameter.FileType fileType, boolean optional)
Constructs a file parameter with the given optionID, file type, and optional flag.

Flag(OptionID optionID)
Constructs a flag object with the given optionID.

IntListParameter(OptionID optionID)
Constructs an integer list parameter

IntListParameter(OptionID optionID, boolean optional)
Constructs an integer list parameter

IntListParameter(OptionID optionID, List<ParameterConstraint<List<Integer>>> constraints, boolean optional)
Constructs an integer list parameter

IntListParameter(OptionID optionID, List<ParameterConstraint<List<Integer>>> constraints, List<Integer> defaultValue)
Constructs an integer list parameter

IntListParameter(OptionID optionID, ParameterConstraint<List<Integer>> constraint)
Constructs an integer list parameter

IntListParameter(OptionID optionID, ParameterConstraint<List<Integer>> constraint, boolean optional)
Constructs an integer list parameter

IntListParameter(OptionID optionID, ParameterConstraint<List<Integer>> constraint, List<Integer> defaultValue)
Constructs an integer list parameter

IntParameter(OptionID optionID)
Constructs an integer parameter with the given optionID.

IntParameter(OptionID optionID, boolean optional)
Constructs an integer parameter with the given optionID.

IntParameter(OptionID optionID, Integer defaultValue)
Constructs an integer parameter with the given optionID.

IntParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints)
Constructs an integer parameter with the given optionID, and parameter constraint.

IntParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints, boolean optional)
Constructs an integer parameter with the given optionID, parameter constraint, and optional flag.

IntParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints, Integer defaultValue)
Constructs an integer parameter with the given optionID, parameter constraint, and default value.

IntParameter(OptionID optionID, ParameterConstraint<Number> constraint)
Constructs an integer parameter with the given optionID, and parameter constraint.

IntParameter(OptionID optionID, ParameterConstraint<Number> constraint, boolean optional)
Constructs an integer parameter with the given optionID, parameter constraint, and optional flag.

IntParameter(OptionID optionID, ParameterConstraint<Number> constraint, Integer defaultValue)
Constructs an integer parameter with the given optionID, parameter constraint, and default value.

ListParameter(OptionID optionID)
Constructs a list parameter with the given optionID.

ListParameter(OptionID optionID, boolean optional)
Constructs a list parameter with the given optionID and optional flag.

ListParameter(OptionID optionID, List<ParameterConstraint<List<T>>> constraints, boolean optional)
Constructs a list parameter with the given optionID.

ListParameter(OptionID optionID, List<ParameterConstraint<List<T>>> constraints, List<T> defaultValue)
Constructs a list parameter with the given optionID.

ListParameter(OptionID optionID, ParameterConstraint<List<T>> constraint)
Constructs a list parameter with the given optionID.

ListParameter(OptionID optionID, ParameterConstraint<List<T>> constraint, boolean optional)
Constructs a list parameter with the given optionID.

ListParameter(OptionID optionID, ParameterConstraint<List<T>> constraint, List<T> defaultValue)
Constructs a list parameter with the given optionID.

LongParameter(OptionID optionID)
Constructs a long parameter with the given optionID.

LongParameter(OptionID optionID, boolean optional)
Constructs a long parameter with the given optionID.

LongParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints)
Constructs a long parameter with the given optionID, and parameter constraint.

LongParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints, boolean optional)
Constructs a long parameter with the given optionID, and parameter constraint.

LongParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints, long defaultValue)
Constructs a long parameter with the given optionID, parameter constraint and default value.

LongParameter(OptionID optionID, long defaultValue)
Constructs a long parameter with the given optionID and default value.

LongParameter(OptionID optionID, ParameterConstraint<Number> constraint)
Constructs a long parameter with the given optionID, and parameter constraint.

LongParameter(OptionID optionID, ParameterConstraint<Number> constraint, boolean optional)
Constructs a long parameter with the given optionID, and parameter constraint.

LongParameter(OptionID optionID, ParameterConstraint<Number> constraint, long defaultValue)
Constructs a long parameter with the given optionID, parameter constraint and default value.

NumberParameter(OptionID optionID)
Constructs a number parameter with the given optionID.

NumberParameter(OptionID optionID, boolean optional)
Constructs a number parameter with the given optionID and optional flag.

NumberParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints)
Constructs a number parameter with the given optionID, and constraint.

NumberParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints, boolean optional)
Constructs a number parameter with the given optionID, constraint, and optional flag.

NumberParameter(OptionID optionID, List<ParameterConstraint<Number>> constraints, T defaultValue)
Constructs a number parameter with the given optionID, constraint, and optional flag.

NumberParameter(OptionID optionID, ParameterConstraint<Number> constraint)
Constructs a number parameter with the given optionID, and constraint.

NumberParameter(OptionID optionID, ParameterConstraint<Number> constraint, boolean optional)
Constructs a number parameter with the given optionID, constraint, and optional flag.

NumberParameter(OptionID optionID, ParameterConstraint<Number> constraint, T defaultValue)
Constructs a number parameter with the given optionID, constraint, and optional flag.

NumberParameter(OptionID optionID, T defaultValue)
Constructs a number parameter with the given optionID and default Value.

ObjectListParameter(OptionID optionID, Class<?> restrictionClass)
Constructor for non-optional.

ObjectListParameter(OptionID optionID, Class<?> restrictionClass, boolean optional)
Constructor with optional flag.

ObjectParameter(OptionID optionID, Class<?> restrictionClass)
Constructs a class parameter with the given optionID, and restriction class.

ObjectParameter(OptionID optionID, Class<?> restrictionClass, boolean optional)
Constructs a class parameter with the given optionID, restriction class, and optional flag.

ObjectParameter(OptionID optionID, Class<?> restrictionClass, Class<?> defaultValue)
Constructs a class parameter with the given optionID, restriction class, and default value.

ObjectParameter(OptionID optionID, Class<?> restrictionClass, T defaultValue)
Constructs a class parameter with the given optionID, restriction class, and default value.

Parameter(OptionID optionID)
Constructs a parameter with the given optionID.

Parameter(OptionID optionID, boolean optional)
Constructs a parameter with the given optionID and optional flag.

Parameter(OptionID optionID, List<ParameterConstraint<S>> constraints)
Constructs a parameter with the given optionID, and constraints.

Parameter(OptionID optionID, List<ParameterConstraint<S>> constraints, boolean optional)
Constructs a parameter with the given optionID, constraints, and optional flag.

Parameter(OptionID optionID, List<ParameterConstraint<S>> constraints, T defaultValue)
Constructs a parameter with the given optionID, constraints, and default value.

Parameter(OptionID optionID, ParameterConstraint<S> constraint)
Constructs a parameter with the given optionID, and constraint.

Parameter(OptionID optionID, ParameterConstraint<S> constraint, boolean optional)
Constructs a parameter with the given optionID, constraint, and optional flag.

Parameter(OptionID optionID, ParameterConstraint<S> constraint, T defaultValue)
Constructs a parameter with the given optionID, constraint, and default value.

Parameter(OptionID optionID, T defaultValue)
Constructs a parameter with the given optionID and default value.

PatternParameter(OptionID optionID)
Constructs a pattern parameter with the given optionID.

PatternParameter(OptionID optionID, boolean optional)
Constructs a pattern parameter with the given optionID.

PatternParameter(OptionID optionID, List<ParameterConstraint<Pattern>> constraints)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, List<ParameterConstraint<Pattern>> constraints, boolean optional)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, List<ParameterConstraint<Pattern>> constraint, Pattern defaultValue)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, List<ParameterConstraint<Pattern>> constraint, String defaultValue)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, ParameterConstraint<Pattern> constraint)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, ParameterConstraint<Pattern> constraint, boolean optional)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, ParameterConstraint<Pattern> constraint, Pattern defaultValue)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, ParameterConstraint<Pattern> constraint, String defaultValue)
Constructs a pattern parameter with the given optionID, constraints and default value.

PatternParameter(OptionID optionID, Pattern defaultValue)
Constructs a pattern parameter with the given optionID, and default value.

PatternParameter(OptionID optionID, String defaultValue)
Constructs a pattern parameter with the given optionID, and default value.

StringParameter(OptionID optionID)
Constructs a string parameter with the given optionID.

StringParameter(OptionID optionID, boolean optional)
Constructs a string parameter with the given optionID.

StringParameter(OptionID optionID, List<ParameterConstraint<String>> constraints)
Constructs a string parameter with the given optionID, constraints and default value.

StringParameter(OptionID optionID, List<ParameterConstraint<String>> constraints, boolean optional)
Constructs a string parameter with the given optionID, constraints and default value.

StringParameter(OptionID optionID, List<ParameterConstraint<String>> constraint, String defaultValue)
Constructs a string parameter with the given optionID, constraints and default value.

StringParameter(OptionID optionID, ParameterConstraint<String> constraint)
Constructs a string parameter with the given optionID, constraints and default value.

StringParameter(OptionID optionID, ParameterConstraint<String> constraint, boolean optional)
Constructs a string parameter with the given optionID, constraints and default value.

StringParameter(OptionID optionID, ParameterConstraint<String> constraint, String defaultValue)
Constructs a string parameter with the given optionID, constraints and default value.

StringParameter(OptionID optionID, String defaultValue)
Constructs a string parameter with the given optionID, and default value.

VectorListParameter(OptionID optionID)
Constructs a vector list parameter with the given name and description.

VectorListParameter(OptionID optionID, boolean optional)
Constructs a vector list parameter with the given name and description.

VectorListParameter(OptionID optionID, List<ParameterConstraint<List<List<Double>>>> constraints, boolean optional)
Constructs a vector list parameter with the given name and description.

VectorListParameter(OptionID optionID, List<ParameterConstraint<List<List<Double>>>> constraints, List<List<Double>> defaultValue)
Constructs a vector list parameter with the given name and description.

VectorListParameter(OptionID optionID, ParameterConstraint<List<List<Double>>> constraint)
Constructs a vector list parameter with the given name and description.

VectorListParameter(OptionID optionID, ParameterConstraint<List<List<Double>>> constraint, boolean optional)
Constructs a vector list parameter with the given name and description.

VectorListParameter(OptionID optionID, ParameterConstraint<List<List<Double>>> constraint, List<List<Double>> defaultValue)
Constructs a vector list parameter with the given name and description.

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

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

static OptionID	GridBasedReferencePoints.GRID_ID Parameter to specify the grid resolution.
static OptionID	GridBasedReferencePoints.GRID_SCALE_ID Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.
static OptionID	RandomSampleReferencePoints.N_ID Parameter to specify the sample size.
static OptionID	RandomGeneratedReferencePoints.N_ID Parameter to specify the number of requested reference points.
static OptionID	StarBasedReferencePoints.NOCENTER_ID Parameter to specify the grid resolution.
static OptionID	RandomGeneratedReferencePoints.SCALE_ID Parameter for additional scaling of the space, to allow out-of-space reference points.
static OptionID	StarBasedReferencePoints.SCALE_ID Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.
static OptionID	AxisBasedReferencePoints.SPACE_SCALE_ID Parameter to specify the extra scaling of the space, to allow out-of-data-space reference points.

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

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

static OptionID	GammaScaling.GAMMA_ID OptionID for the gamma value.
static OptionID	ClipScaling.MAX_ID Parameter to specify the maximum value Key: -clipscale.max
static OptionID	ClipScaling.MIN_ID Parameter to specify a fixed minimum to use.

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

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

static OptionID	TopKOutlierScaling.BINARY_ID Parameter to specify the lambda value Key: -topk.binary
static OptionID	TopKOutlierScaling.K_ID Parameter to specify the number of outliers to keep Key: -topk.k
static OptionID	StandardDeviationScaling.LAMBDA_ID Parameter to specify the lambda value Key: -stddevscale.lambda
static OptionID	SqrtStandardDeviationScaling.LAMBDA_ID Parameter to specify the lambda value Key: -sqrtstddevscale.lambda
static OptionID	OutlierLinearScaling.MAX_ID Parameter to specify the maximum value Key: -linearscale.max
static OptionID	OutlierSqrtScaling.MAX_ID Parameter to specify the fixed maximum to use.
static OptionID	OutlierLinearScaling.MEAN_ID Flag to use the mean as minimum for scaling.
static OptionID	StandardDeviationScaling.MEAN_ID Parameter to specify a fixed mean to use.
static OptionID	SqrtStandardDeviationScaling.MEAN_ID Parameter to specify a fixed mean to use.
static OptionID	OutlierLinearScaling.MIN_ID Parameter to specify a fixed minimum to use.
static OptionID	OutlierSqrtScaling.MIN_ID Parameter to specify the fixed minimum to use.
static OptionID	SqrtStandardDeviationScaling.MIN_ID Parameter to specify the fixed minimum to use.
static OptionID	OutlierGammaScaling.NORMALIZE_ID Normalization flag.
static OptionID	OutlierLinearScaling.NOZEROS_ID Flag to use ignore zeros when computing the min and max.

Uses of OptionID in de.lmu.ifi.dbs.elki.visualization

Fields in de.lmu.ifi.dbs.elki.visualization declared as OptionID

static OptionID	VisualizerParameterizer.HIDEVIS_ID Parameter to disable visualizers Key: -vis.hide Default: default properties file
static OptionID	VisualizerParameterizer.STYLELIB_ID Parameter to get the style properties file.

Uses of OptionID in de.lmu.ifi.dbs.elki.visualization.gui

Fields in de.lmu.ifi.dbs.elki.visualization.gui declared as OptionID

static OptionID

ResultVisualizer.WINDOW_TITLE_ID Parameter to specify the window title Key: -vis.window.title Default value: "ELKI Result Visualization"

Uses of OptionID in de.lmu.ifi.dbs.elki.visualization.projector

Fields in de.lmu.ifi.dbs.elki.visualization.projector declared as OptionID

static OptionID

ScatterPlotFactory.Parameterizer.MAXDIM_ID Parameter for the maximum number of dimensions, Code: -vis.maxdim

Uses of OptionID in de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d declared as OptionID

static OptionID	P1DHistogramVisualizer.Factory.HISTOGRAM_BINS_ID Parameter to specify the number of bins to use in histogram.
static OptionID	P1DHistogramVisualizer.Factory.STYLE_CURVES_ID Flag to specify the "curves" rendering style.

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

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

static OptionID	TooltipScoreVisualization.Factory.DIGITS_ID Parameter for the gamma-correction.
static OptionID	TreeMBRVisualization.Factory.FILL_ID Flag for half-transparent filling of bubbles.
static OptionID	BubbleVisualization.Factory.FILL_ID Flag for half-transparent filling of bubbles.
static OptionID	SelectionCubeVisualization.Factory.NOFILL_ID Flag for half-transparent filling of selection cubes.
static OptionID	BubbleVisualization.Factory.SCALING_ID Parameter for scaling functions Key: -bubble.scaling