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

Packages that use ClassParameter

de.lmu.ifi.dbs.elki	ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.
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.outlier	Outlier detection algorithms
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.visualization	Visualization applications in ELKI.
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.connection	Database connections are classes implementing data sources.
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.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.evaluation	Functionality for the evaluation of algorithms.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	M-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.parser	Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.parser.meta	MetaParsers for different file formats and data types.
de.lmu.ifi.dbs.elki.preprocessing	Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints	Constraints allow to restrict possible values for parameters.

Uses of ClassParameter in de.lmu.ifi.dbs.elki

Fields in de.lmu.ifi.dbs.elki declared as ClassParameter

private ClassParameter<Algorithm<O,Result>>	KDDTask.ALGORITHM_PARAM Parameter to specify the algorithm to be applied, must extend Algorithm.
private ClassParameter<DatabaseConnection<O>>	KDDTask.DATABASE_CONNECTION_PARAM Parameter to specify the database connection to be used, must extend DatabaseConnection.
private ClassParameter<Normalization<O>>	KDDTask.NORMALIZATION_PARAM Optional Parameter to specify a normalization in order to use a database with normalized values.
private ClassParameter<ResultHandler<O,Result>>	KDDTask.RESULT_HANDLER_PARAM Parameter to specify the result handler to be used, must extend ResultHandler.

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

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

protected ClassParameter<DistanceFunction<O,D>>

DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

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

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

protected ClassParameter<LocallyWeightedDistanceFunction<V,?>>

ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend AbstractLocallyWeightedDistanceFunction.

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

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

protected ClassParameter<ClusteringAlgorithm<Clustering<Model>,V>>	COPAC.PARTITION_ALGORITHM_PARAM Parameter to specify the clustering algorithm to apply to each partition, must extend ClusteringAlgorithm.
private ClassParameter<Database<V>>	COPAC.PARTITION_DB_PARAM Parameter to specify the database class for each partition, must extend Database.
private ClassParameter<HiCOPreprocessor<V>>	COPAC.PREPROCESSOR_PARAM Parameter to specify the preprocessor to derive partition criterion, must extend HiCOPreprocessor.

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

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

private ClassParameter<KernelFunction<V,DoubleDistance>>	ABOD.KERNEL_FUNCTION_PARAM Parameter for Kernel function.
private ClassParameter<DistanceFunction<O,D>>	LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM The distance function to determine the reachability distance between database objects.

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

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

private ClassParameter<Parameterizable>

AbstractApplication.DESCRIPTION_PARAM Optional Parameter to specify a class to obtain a description for, must extend Parameterizable .

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

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

private ClassParameter<DatabaseConnection<O>>	CacheFloatDistanceInOnDiskMatrix.DATABASE_CONNECTION_PARAM Parameter to specify the database connection to be used, must extend DatabaseConnection.
private ClassParameter<DatabaseConnection<O>>	CacheDoubleDistanceInOnDiskMatrix.DATABASE_CONNECTION_PARAM Parameter to specify the database connection to be used, must extend DatabaseConnection.
private ClassParameter<DistanceFunction<O,N>>	CacheFloatDistanceInOnDiskMatrix.DISTANCE_PARAM Parameter that specifies the name of the directory to be re-parsed.
private ClassParameter<DistanceFunction<O,N>>	CacheDoubleDistanceInOnDiskMatrix.DISTANCE_PARAM Parameter that specifies the name of the directory to be re-parsed.

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

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

private static void	DocumentParameters.appendClassRestriction(Document htmldoc, ClassParameter<?> opt, Element elemdd)
private static void	DocumentParameters.appendKnownImplementationsIfNonempty(Document htmldoc, ClassParameter<?> opt, Element elemdd)

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

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

private ClassParameter<DatabaseConnection<O>>	KNNExplorer.DATABASE_CONNECTION_PARAM Parameter to specify the database connection to be used, must extend DatabaseConnection.
protected ClassParameter<DistanceFunction<O,N>>	KNNExplorer.DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.
private ClassParameter<Normalization<O>>	KNNExplorer.NORMALIZATION_PARAM Optional Parameter to specify a normalization in order to use a database with normalized values.

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

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

private ClassParameter<MetricalIndex<O,D,N,E>>	MetricalIndexDatabase.INDEX_PARAM Parameter to specify the metrical index to use.
private ClassParameter<SpatialIndex<O,N,E>>	SpatialIndexDatabase.INDEX_PARAM Parameter to specify the spatial index to use.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.database.connection

Fields in de.lmu.ifi.dbs.elki.database.connection declared as ClassParameter

private ClassParameter<ClassLabel>	AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM Parameter to specify the association of occurring class labels, must extend ClassLabel.
private ClassParameter<Database<O>>	AbstractDatabaseConnection.DATABASE_PARAM Parameter to specify the database to be provided by the parse method, must extend Database.
private ClassParameter<Parser<O>>	InputStreamDatabaseConnection.PARSER_PARAM Parameter to specify the parser to provide a database, must extend Parser.

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

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

(package private) ClassParameter<KernelFunction<V,DoubleDistance>>

KernelBasedLocallyWeightedDistanceFunction.KERNEL_FUNCTION_PARAM Parameter for the kernel function

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

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

protected ClassParameter<NormalizedSimilarityFunction<V,DoubleDistance>>

SimilarityAdapterAbstract.SIMILARITY_FUNCTION_PARAM Parameter to specify the similarity function to derive the distance between database objects from.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.distance.distancefunction.external

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

private ClassParameter<DistanceParser<V,FloatDistance>>	FileBasedFloatDistanceFunction.PARSER_PARAM Optional parameter to specify the parsers to provide a database, must extend DistanceParser.
private ClassParameter<DistanceParser<V,DoubleDistance>>	FileBasedDoubleDistanceFunction.PARSER_PARAM Optional parameter to specify the parsers to provide a database, must extend DistanceParser.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.evaluation

Fields in de.lmu.ifi.dbs.elki.evaluation declared as ClassParameter

private ClassParameter<Algorithm<O,Result>>

ComputeROCCurve.ALGORITHM_PARAM Parameter to specify the algorithm to be applied, must extend Algorithm.

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

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

protected ClassParameter<DistanceFunction<O,D>>

AbstractMTree.DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

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

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

private ClassParameter<SpatialDistanceFunction<O,D>>

RdKNNTree.DISTANCE_FUNCTION_PARAM Parameter for distance function

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

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

private ClassParameter<CovarianceMatrixBuilder<V,D>>	PCARunner.COVARIANCE_PARAM Parameter to specify the class to compute the covariance matrix. must be a subclass of CovarianceMatrixBuilder.
private ClassParameter<EigenPairFilter>	PCAFilteredRunner.EIGENPAIR_FILTER_PARAM Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.
private ClassParameter<WeightFunction>	WeightedCovarianceMatrixBuilder.WEIGHT_PARAM Parameter to specify the weight function to use in weighted PCA, must implement WeightFunction.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.parser

Fields in de.lmu.ifi.dbs.elki.parser declared as ClassParameter

(package private) ClassParameter<DistanceFunction<ExternalObject,D>>

NumberDistanceParser.DISTANCE_FUNCTION_PARAM Parameter for distance function.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.parser.meta

Fields in de.lmu.ifi.dbs.elki.parser.meta declared as ClassParameter

private ClassParameter<? extends Parser<O>>

MetaParser.BASEPARSER_PARAM The parameter for setting the base parser.

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

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

ClassParameter<DistanceFunction<O,D>>	MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
ClassParameter<DistanceFunction<O,D>>	SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM Parameter to indicate the distance function to be used to ascertain the nearest neighbors.
private ClassParameter<DistanceFunction<V,D>>	ProjectedDBSCANPreprocessor.DISTANCE_FUNCTION_PARAM Parameter distance function
protected ClassParameter<DistanceFunction<V,DoubleDistance>>	HiCOPreprocessor.PCA_DISTANCE_PARAM Parameter to specify the distance function used for running PCA.
private ClassParameter<P>	PreprocessorHandler.PREPROCESSOR_PARAM Parameter to specify the preprocessor to be used, must extend at least Preprocessor.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints

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

private ClassParameter<D>

GlobalDistanceFunctionPatternConstraint.restrictionClass Class parameter whose restriction class is used to check the validity of the pattern parameter.

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

GlobalDistanceFunctionPatternConstraint(PatternParameter pattern, ClassParameter<D> restrClass)
Constructs a global parameter constraint for testing if a given pattern parameter is a valid argument for a given distance function of a class parameter.