- Overview
- Package
- Class
- Use
- Tree
- Deprecated
- Index
| 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.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.em |
Expectation-Maximization clustering algorithm.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel |
Parallelized implementations of k-means.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
| 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.normalization.columnwise |
Normalizations operating on columns / variates; where each column is treated independently.
|
| 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.colorhistogram |
Distance functions using correlations.
|
| de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
| de.lmu.ifi.dbs.elki.evaluation.clustering.internal |
Internal evaluation measures for clusterings.
|
| 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.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.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.utilities.optionhandling.parameters |
Classes for various typed parameters.
|
| 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
A mathematical vector object, along with mathematical operations.
|
| 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
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| 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
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| AffineTransformation
Affine transformations implemented using homogeneous coordinates.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| LinearEquationSystem
Class for systems of linear equations.
|
| 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 |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| 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 |
|---|
| Centroid
Class to compute the centroid of some data.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| ProjectionResult
Interface representing a simple projection result.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| 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
A mathematical vector object, along with mathematical operations.
|
| 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.
|
| SortedEigenPairs
Helper class which encapsulates an array of eigenpairs (i.e. an array of
eigenvectors and their corresponding eigenvalues).
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Vector.Factory
Vector factory for Vectors.
|
| 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
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Matrix
A two-dimensional matrix class, where the data is stored as two-dimensional
array.
|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| AffineTransformation
Affine transformations implemented using homogeneous coordinates.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
| Class and Description |
|---|
| Vector
A mathematical vector object, along with mathematical operations.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.
