| Package | Description |
|---|---|
| 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.benchmark |
Benchmarking pseudo algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical | |
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
| 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.lof |
LOF family of 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.subspace |
Subspace outlier detection methods.
|
| 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.geo |
Application for exploring geo data.
|
| de.lmu.ifi.dbs.elki.application.greedyensemble |
Greedy ensembles for outlier detection.
|
| de.lmu.ifi.dbs.elki.application.jsmap |
JavaScript based map client - server architecture.
|
| de.lmu.ifi.dbs.elki.data.images |
Package for processing image data (e.g. compute color histograms)
|
| de.lmu.ifi.dbs.elki.data.projection |
Data projections.
|
| 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.filter.normalization |
Data normalization.
|
| de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
| 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.minkowski |
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
|
| 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.clustering |
Evaluation of clustering results.
|
| 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.similaritymatrix |
Render a distance matrix to visualize a clustering-distance-combination.
|
| de.lmu.ifi.dbs.elki.gui.configurator |
Configurator components
|
| de.lmu.ifi.dbs.elki.gui.minigui |
A very simple UI to build ELKI command lines.
|
| de.lmu.ifi.dbs.elki.gui.multistep |
Multi-step GUI for ELKI
|
| de.lmu.ifi.dbs.elki.gui.multistep.panels |
Panels for the multi-step GUI
|
| 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 |
Index structure implementations
|
| de.lmu.ifi.dbs.elki.index.lsh |
Locality Sensitive Hashing
|
| de.lmu.ifi.dbs.elki.index.lsh.hashfamilies |
Hash function families for LSH.
|
| 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.projected |
Projected indexes for data.
|
| 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 | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split |
Splitting strategies of nodes in an M-Tree (and variants).
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants |
R*-Tree and variants.
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk |
Packages for bulk-loading R*-Trees.
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert |
Insertion strategies for R-Trees
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow |
Overflow treatment strategies for R-Trees
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert |
Reinsertion strategies for R-Trees
|
| de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
| de.lmu.ifi.dbs.elki.math.dimensionsimilarity |
Functions to compute the similarity of dimensions (or the interestingness of the combination).
|
| de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
| de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections |
Random projection families.
|
| de.lmu.ifi.dbs.elki.persistent |
Persistent data management.
|
| de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
| de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
| de.lmu.ifi.dbs.elki.utilities.ensemble |
Utility classes for simple ensembles.
|
| 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.histogram |
Visualizers based on 1D projected histograms.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index |
Visualizers for index structure based on parallel coordinates.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot |
Visualizers based on scatterplots.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster |
Visualizers for clustering results based on 2D projections.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index |
Visualizers for index structures based on 2D projections.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier |
Visualizers for outlier scores based on 2D projections.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection |
Visualizers for object selection based on 2D projections.
|
| de.lmu.ifi.dbs.elki.workflow |
Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
|
| tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
| tutorial.distancefunction |
Classes from the tutorial on implementing distance functions.
|
| tutorial.outlier |
| Class and Description |
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| Parameterization
Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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| ListParameterization
Parameterization handler using a List and OptionIDs, for programmatic use.
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| ListParameterization
Parameterization handler using a List and OptionIDs, for programmatic use.
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| TrackParameters
Utility wrapper to track parameters for a configuration session.
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| Class and Description |
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| SerializedParameterization
Manage a parameterization serialized as String array, e.g. from command line.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| ListParameterization
Parameterization handler using a List and OptionIDs, for programmatic use.
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| TrackParameters
Utility wrapper to track parameters for a configuration session.
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| AbstractParameterization
Abstract class with shared code for parameterization handling.
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| ListParameterization
Parameterization handler using a List and OptionIDs, for programmatic use.
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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| MergedParameterization
This configuration can be "rewound" to allow the same values to be consumed
multiple times, by different classes.
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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| Class and Description |
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| Parameterization
Interface for object parameterizations.
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