| Package | Description |
|---|---|
| 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.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash |
Helper classes for the
CASH algorithm. |
| 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.outlier.lof |
LOF family of outlier detection algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
| de.lmu.ifi.dbs.elki.data |
Basic classes for different data types, database object types and label types.
|
| de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
| de.lmu.ifi.dbs.elki.data.spatial |
Spatial data types - interfaces and utilities.
|
| de.lmu.ifi.dbs.elki.data.synthetic.bymodel |
Generator using a distribution model specified in an XML configuration file.
|
| de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
| de.lmu.ifi.dbs.elki.datasource |
Data normalization (and reconstitution) of data sets.
|
| 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.distance.distancefunction |
Distance functions for use within ELKI.
|
| 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.similarityfunction.kernel |
Kernel functions.
|
| de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
| de.lmu.ifi.dbs.elki.index.preprocessed |
Index structure based on preprocessors
|
| de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj |
Index using a preprocessed local subspaces.
|
| de.lmu.ifi.dbs.elki.index.tree.spatial |
Tree-based index structures for spatial indexing.
|
| de.lmu.ifi.dbs.elki.math |
Mathematical operations and utilities used throughout the framework.
|
| 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.geometry |
Algorithms from computational geometry.
|
| de.lmu.ifi.dbs.elki.math.linearalgebra |
Linear Algebra package provides classes and computational methods for operations on matrices.
|
| 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.math.statistics |
Statistical tests and methods.
|
| de.lmu.ifi.dbs.elki.result.textwriter.writers |
Serialization handlers for individual data types.
|
| de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
| de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike |
Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.
|
| de.lmu.ifi.dbs.elki.visualization.projections |
Visualization projections
|
| de.lmu.ifi.dbs.elki.visualization.svg |
Base SVG functionality (generation, markers, thumbnails, export, ...).
|
| 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.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.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| LinearEquationSystem
Class for systems of linear equations.
|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| LinearEquationSystem
Class for systems of linear equations.
|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| AffineTransformation
Affine transformations implemented using homogeneous coordinates.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| LinearEquationSystem
Class for systems of linear equations.
|
| Class and Description |
|---|
| Centroid
Class to compute the centroid of some data.
|
| CovarianceMatrix
Class for computing covariance matrixes using stable mean and variance
computations.
|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| ProjectionResult
Interface representing a simple projection result.
|
| Class and Description |
|---|
| ProjectionResult
Interface representing a simple projection result.
|
| SubspaceProjectionResult
Simple class wrapping the result of a subspace projection.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| AffineTransformation
Affine transformations implemented using homogeneous coordinates.
|
| Centroid
Class to compute the centroid of some data.
|
| CovarianceMatrix
Class for computing covariance matrixes using stable mean and variance
computations.
|
| EigenPair
Helper class which encapsulates an eigenvector and its corresponding
eigenvalue.
|
| EigenvalueDecomposition
Eigenvalues and eigenvectors of a real matrix.
|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| ProjectedCentroid
Centroid only using a subset of dimensions.
|
| ProjectionResult
Interface representing a simple projection result.
|
| SortedEigenPairs
Helper class which encapsulates an array of eigenpairs (i.e. an array of
eigenvectors and their corresponding eigenvalues).
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| EigenPair
Helper class which encapsulates an eigenvector and its corresponding
eigenvalue.
|
| EigenvalueDecomposition
Eigenvalues and eigenvectors of a real matrix.
|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| ProjectionResult
Interface representing a simple projection result.
|
| SortedEigenPairs
Helper class which encapsulates an array of eigenpairs (i.e. an array of
eigenvectors and their corresponding eigenvalues).
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| AffineTransformation
Affine transformations implemented using homogeneous coordinates.
|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
| Class and Description |
|---|
| Vector
Provides a vector object that encapsulates an m x 1 - matrix object.
|
