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Packages that use ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.application declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.application.cache declared as ClassParameter | |
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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 |
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Methods in de.lmu.ifi.dbs.elki.application.internal with parameters of type ClassParameter | |
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private static void |
DocumentParameters.appendClassRestriction(Document htmldoc,
ClassParameter<?> opt,
Element elemdd)
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private static void |
DocumentParameters.appendKnownImplementationsIfNonempty(Document htmldoc,
ClassParameter<?> opt,
Element elemdd)
|
Uses of ClassParameter in de.lmu.ifi.dbs.elki.application.visualization |
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Fields in de.lmu.ifi.dbs.elki.application.visualization declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.database declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.database.connection declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction declared as ClassParameter | |
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(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 |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.external declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.evaluation declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.parser declared as ClassParameter | |
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(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 |
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Fields in de.lmu.ifi.dbs.elki.parser.meta declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.preprocessing declared as ClassParameter | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints declared as ClassParameter | |
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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 | |
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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. |
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