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Packages that use ObjectParameter | |
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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.clustering.subspace | Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces. |
de.lmu.ifi.dbs.elki.algorithm.outlier | Outlier detection algorithms |
de.lmu.ifi.dbs.elki.application | Base classes for stand alone applications. |
de.lmu.ifi.dbs.elki.application.cache | Utility applications for the persistence layer such as distance cache builders. |
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.histogram | Functionality for the evaluation of algorithms using histograms. |
de.lmu.ifi.dbs.elki.evaluation.roc | Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve) |
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.preprocessing | Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. |
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d | Visualizers based on 2D projections. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki |
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Fields in de.lmu.ifi.dbs.elki declared as ObjectParameter | |
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private ObjectParameter<Algorithm<O,Result>> |
KDDTask.ALGORITHM_PARAM
Parameter to specify the algorithm to be applied, must extend Algorithm . |
private ObjectParameter<DatabaseConnection<O>> |
KDDTask.DATABASE_CONNECTION_PARAM
Parameter to specify the database connection to be used, must extend DatabaseConnection . |
private ObjectParameter<Normalization<O>> |
KDDTask.NORMALIZATION_PARAM
Optional Parameter to specify a normalization in order to use a database with normalized values. |
private ObjectParameter<ResultHandler<O,Result>> |
KDDTask.RESULT_HANDLER_PARAM
Parameter to specify the result handler to be used, must extend ResultHandler . |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.algorithm |
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Fields in de.lmu.ifi.dbs.elki.algorithm declared as ObjectParameter | |
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protected ObjectParameter<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 ObjectParameter in de.lmu.ifi.dbs.elki.algorithm.clustering |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as ObjectParameter | |
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private ObjectParameter<DistanceFunction<V,DoubleDistance>> |
ProjectedDBSCAN.INNER_DISTANCE_FUNCTION_PARAM
Parameter distance function |
protected ObjectParameter<AbstractLocallyWeightedDistanceFunction<V,?>> |
ProjectedDBSCAN.OUTER_DISTANCE_FUNCTION_PARAM
Parameter to specify the distance function to determine the distance between database objects, must extend AbstractLocallyWeightedDistanceFunction
. |
Uses of ObjectParameter 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 ObjectParameter | |
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protected ObjectParameter<ClusteringAlgorithm<Clustering<Model>,V>> |
COPAC.PARTITION_ALGORITHM_PARAM
Parameter to specify the clustering algorithm to apply to each partition, must extend ClusteringAlgorithm . |
protected ObjectParameter<LocalPCAPreprocessorBasedDistanceFunction<V,?,?>> |
COPAC.PARTITION_DISTANCE_PARAM
Parameter to specify the distance function to use inside the partitions AbstractPreprocessorBasedDistanceFunction
. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as ObjectParameter | |
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private ObjectParameter<AbstractDimensionsSelectingDoubleDistanceFunction<V>> |
SUBCLU.DISTANCE_FUNCTION_PARAM
The distance function to determine the distance between database objects. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.algorithm.outlier |
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Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as ObjectParameter | |
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private ObjectParameter<DistanceFunction<O,DoubleDistance>> |
LoOP.COMPARISON_DISTANCE_FUNCTION_PARAM
The distance function to determine the reachability distance between database objects. |
private ObjectParameter<KernelFunction<V,DoubleDistance>> |
ABOD.KERNEL_FUNCTION_PARAM
Parameter for Kernel function. |
private ObjectParameter<DistanceFunction<O,D>> |
LOF.REACHABILITY_DISTANCE_FUNCTION_PARAM
The distance function to determine the reachability distance between database objects. |
private ObjectParameter<DistanceFunction<O,DoubleDistance>> |
LoOP.REFERENCE_DISTANCE_FUNCTION_PARAM
The distance function to determine the reachability distance between database objects. |
private ObjectParameter<ReferencePointsHeuristic<V>> |
ReferenceBasedOutlierDetection.REFP_PARAM
Parameter for the reference points heuristic. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.application |
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Fields in de.lmu.ifi.dbs.elki.application declared as ObjectParameter | |
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private ObjectParameter<ComputeColorHistogram> |
ComputeSingleColorHistogram.COLORHIST_PARAM
Class parameter for computing the color histogram. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.application.cache |
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Fields in de.lmu.ifi.dbs.elki.application.cache declared as ObjectParameter | |
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private ObjectParameter<DatabaseConnection<O>> |
CacheFloatDistanceInOnDiskMatrix.DATABASE_CONNECTION_PARAM
Parameter to specify the database connection to be used, must extend DatabaseConnection . |
private ObjectParameter<DatabaseConnection<O>> |
CacheDoubleDistanceInOnDiskMatrix.DATABASE_CONNECTION_PARAM
Parameter to specify the database connection to be used, must extend DatabaseConnection . |
private ObjectParameter<DistanceFunction<O,D>> |
CacheFloatDistanceInOnDiskMatrix.DISTANCE_PARAM
Parameter that specifies the name of the directory to be re-parsed. |
private ObjectParameter<DistanceFunction<O,D>> |
CacheDoubleDistanceInOnDiskMatrix.DISTANCE_PARAM
Parameter that specifies the name of the directory to be re-parsed. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.application.visualization |
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Fields in de.lmu.ifi.dbs.elki.application.visualization declared as ObjectParameter | |
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private ObjectParameter<DatabaseConnection<O>> |
KNNExplorer.DATABASE_CONNECTION_PARAM
Parameter to specify the database connection to be used, must extend DatabaseConnection . |
private ObjectParameter<Normalization<O>> |
KNNExplorer.NORMALIZATION_PARAM
Optional Parameter to specify a normalization in order to use a database with normalized values. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.database |
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Fields in de.lmu.ifi.dbs.elki.database declared as ObjectParameter | |
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private ObjectParameter<MetricalIndex<O,D,N,E>> |
MetricalIndexDatabase.INDEX_PARAM
Parameter to specify the metrical index to use. |
private ObjectParameter<SpatialIndex<O,N,E>> |
SpatialIndexDatabase.INDEX_PARAM
Parameter to specify the spatial index to use. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.database.connection |
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Fields in de.lmu.ifi.dbs.elki.database.connection declared as ObjectParameter | |
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private ObjectParameter<ClassLabel> |
AbstractDatabaseConnection.CLASS_LABEL_CLASS_PARAM
Parameter to specify the association of occurring class labels, must extend ClassLabel . |
private ObjectParameter<Database<O>> |
AbstractDatabaseConnection.DATABASE_PARAM
Parameter to specify the database to be provided by the parse method, must extend Database . |
private ObjectParameter<Parser<O>> |
InputStreamDatabaseConnection.PARSER_PARAM
Parameter to specify the parser to provide a database, must extend Parser . |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.distance.distancefunction |
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Fields in de.lmu.ifi.dbs.elki.distance.distancefunction declared as ObjectParameter | |
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private ObjectParameter<KernelFunction<V,DoubleDistance>> |
KernelBasedLocallyWeightedDistanceFunction.KERNEL_FUNCTION_PARAM
Parameter for the kernel function |
Uses of ObjectParameter 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 ObjectParameter | |
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protected ObjectParameter<NormalizedSimilarityFunction<V,DoubleDistance>> |
SimilarityAdapterAbstract.SIMILARITY_FUNCTION_PARAM
Parameter to specify the similarity function to derive the distance between database objects from. |
Uses of ObjectParameter 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 ObjectParameter | |
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private ObjectParameter<DistanceParser<V,FloatDistance>> |
FileBasedFloatDistanceFunction.PARSER_PARAM
Optional parameter to specify the parsers to provide a database, must extend DistanceParser . |
private ObjectParameter<DistanceParser<V,DoubleDistance>> |
FileBasedDoubleDistanceFunction.PARSER_PARAM
Optional parameter to specify the parsers to provide a database, must extend DistanceParser . |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.evaluation.histogram |
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Fields in de.lmu.ifi.dbs.elki.evaluation.histogram declared as ObjectParameter | |
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private ObjectParameter<Algorithm<O,Result>> |
ComputeOutlierHistogram.ALGORITHM_PARAM
Parameter to specify the algorithm to be applied, must extend Algorithm . |
private ObjectParameter<ScalingFunction> |
ComputeOutlierHistogram.SCALING_PARAM
Parameter to specify a scaling function to use. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.evaluation.roc |
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Fields in de.lmu.ifi.dbs.elki.evaluation.roc declared as ObjectParameter | |
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private ObjectParameter<Algorithm<O,Result>> |
ComputeROCCurve.ALGORITHM_PARAM
Parameter to specify the algorithm to be applied, must extend Algorithm . |
Uses of ObjectParameter 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 ObjectParameter | |
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protected ObjectParameter<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 ObjectParameter 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 ObjectParameter | |
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private ObjectParameter<SpatialDistanceFunction<O,D>> |
RdKNNTree.DISTANCE_FUNCTION_PARAM
Parameter for distance function |
Uses of ObjectParameter 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 ObjectParameter | |
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private ObjectParameter<CovarianceMatrixBuilder<V,D>> |
PCARunner.COVARIANCE_PARAM
Parameter to specify the class to compute the covariance matrix, must be a subclass of CovarianceMatrixBuilder . |
private ObjectParameter<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 ObjectParameter<WeightFunction> |
WeightedCovarianceMatrixBuilder.WEIGHT_PARAM
Parameter to specify the weight function to use in weighted PCA, must implement WeightFunction
. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.parser |
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Fields in de.lmu.ifi.dbs.elki.parser declared as ObjectParameter | |
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private ObjectParameter<DistanceFunction<ExternalObject,D>> |
NumberDistanceParser.DISTANCE_FUNCTION_PARAM
Parameter for distance function. |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.preprocessing |
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Fields in de.lmu.ifi.dbs.elki.preprocessing declared as ObjectParameter | |
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ObjectParameter<DistanceFunction<O,D>> |
MaterializeKNNPreprocessor.DISTANCE_FUNCTION_PARAM
Parameter to indicate the distance function to be used to ascertain the nearest neighbors. |
private ObjectParameter<DistanceFunction<O,D>> |
SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM
Parameter to indicate the distance function to be used to ascertain the nearest neighbors. |
private ObjectParameter<DistanceFunction<V,D>> |
ProjectedDBSCANPreprocessor.DISTANCE_FUNCTION_PARAM
Parameter distance function |
protected ObjectParameter<DistanceFunction<V,DoubleDistance>> |
LocalPCAPreprocessor.PCA_DISTANCE_PARAM
Parameter to specify the distance function used for running PCA. |
private ObjectParameter<P> |
PreprocessorHandler.PREPROCESSOR_PARAM
Parameter to specify the preprocessor to be used, must extend at least Preprocessor . |
Uses of ObjectParameter in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d |
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Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d declared as ObjectParameter | |
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private ObjectParameter<ScalingFunction> |
BubbleVisualizer.SCALING_PARAM
Parameter for scaling functions Key: -bubble.scaling
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