| Package | Description |
|---|---|
| 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.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 |
Data filtering, in particular for normalization and projection.
|
| 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.evaluation.paircounting |
Evaluation of clustering results via pair counting.
|
| 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.math |
Mathematical operations and utilities used throughout the framework.
|
| 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.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.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.vis2d |
Visualizers based on 2D projections.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| 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.
|
| 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 |
|---|
| 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.
|
| 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 |
|---|
| 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 |
|---|
| 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.
|
| CholeskyDecomposition
Cholesky Decomposition.
|
| 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.
|
| LUDecomposition
LU Decomposition.
|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| MatrixLike
Common Interface for Matrix and Vector objects, where M is the actual type.
|
| ProjectedCentroid
Centroid only using a subset of dimensions.
|
| ProjectionResult
Interface representing a simple projection result.
|
| QRDecomposition
QR Decomposition.
|
| SingularValueDecomposition
Singular Value Decomposition.
|
| 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 |
|---|
| 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.
|
| MatrixLike
Common Interface for Matrix and Vector objects, where M is the actual type.
|
| 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.
|
