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Packages that use de.lmu.ifi.dbs.elki.distance | |
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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.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.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.data | Basic classes for different data types, database object types and label types. |
de.lmu.ifi.dbs.elki.database | ELKI database layer - loading, storing, indexing and accessing data |
de.lmu.ifi.dbs.elki.distance | Distances and (in subpackages) distance functions and similarity functions . |
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.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.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.roc | Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve) |
de.lmu.ifi.dbs.elki.index.tree | Tree-based index structures |
de.lmu.ifi.dbs.elki.index.tree.metrical | Tree-based index structures for metrical vector spaces. |
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.metrical.mtreevariants.mktrees.mkmax | MkMaxTree |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab | MkTabTree |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree | MTree |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split | Splitting strategies of nodes in an M-Tree (and variants). |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util | Helper classes for the the M-Tree and it's variants. |
de.lmu.ifi.dbs.elki.index.tree.spatial | Tree-based index structures for spatial indexing. |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants | R*-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.result | Result types, representation and handling |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.algorithm | |
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Distance
The interface Distance defines the requirements of any instance class. |
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DoubleDistance
Provides a Distance for a double-valued distance. |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.algorithm.clustering | |
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Distance
The interface Distance defines the requirements of any instance class. |
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IntegerDistance
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Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | |
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DoubleDistance
Provides a Distance for a double-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace | |
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DoubleDistance
Provides a Distance for a double-valued distance. |
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PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.algorithm.outlier | |
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Distance
The interface Distance defines the requirements of any instance class. |
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DoubleDistance
Provides a Distance for a double-valued distance. |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.algorithm.statistics | |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.application.cache | |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.application.visualization | |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.data | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.database | |
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Distance
The interface Distance defines the requirements of any instance class. |
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DoubleDistance
Provides a Distance for a double-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance | |
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AbstractDistance
An abstract distance implements equals conveniently for any extending class. |
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BitDistance
Provides a Distance for a bit-valued distance. |
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CorrelationDistance
The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects. |
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Distance
The interface Distance defines the requirements of any instance class. |
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DoubleDistance
Provides a Distance for a double-valued distance. |
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FloatDistance
Provides a Distance for a float-valued distance. |
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IntegerDistance
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MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
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NumberDistance
Provides a Distance for a number-valued distance. |
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PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance. |
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SubspaceDistance
The subspace distance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.distancefunction | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
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Distance
The interface Distance defines the requirements of any instance class. |
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DoubleDistance
Provides a Distance for a double-valued distance. |
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FloatDistance
Provides a Distance for a float-valued distance. |
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MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
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PreprocessorBasedMeasurementFunction
Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.distancefunction.adapter | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
BitDistance
Provides a Distance for a bit-valued distance. |
|
CorrelationDistance
The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
|
PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance. |
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PreprocessorBasedMeasurementFunction
Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.distancefunction.external | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
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FloatDistance
Provides a Distance for a float-valued distance. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
|
PreferenceVectorBasedCorrelationDistance
A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance. |
|
PreprocessorBasedMeasurementFunction
Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database. |
|
SubspaceDistance
The subspace distance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.similarityfunction | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
Distance
The interface Distance defines the requirements of any instance class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
|
IntegerDistance
|
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
|
PreprocessorBasedMeasurementFunction
Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | |
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AbstractMeasurementFunction
Abstract implementation of interface MeasurementFunction that provides some methods
valid for any extending class. |
|
Distance
The interface Distance defines the requirements of any instance class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.evaluation.roc | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp | |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
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NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.util | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.spatial | |
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Distance
The interface Distance defines the requirements of any instance class. |
|
MeasurementFunction
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants | |
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Distance
The interface Distance defines the requirements of any instance class. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn | |
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Distance
The interface Distance defines the requirements of any instance class. |
|
NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.math.linearalgebra.pca | |
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DoubleDistance
Provides a Distance for a double-valued distance. |
|
NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.parser | |
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Distance
The interface Distance defines the requirements of any instance class. |
|
NumberDistance
Provides a Distance for a number-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.preprocessing | |
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Distance
The interface Distance defines the requirements of any instance class. |
|
DoubleDistance
Provides a Distance for a double-valued distance. |
Classes in de.lmu.ifi.dbs.elki.distance used by de.lmu.ifi.dbs.elki.result | |
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Distance
The interface Distance defines the requirements of any instance class. |
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PREV NEXT | FRAMES NO FRAMES |