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
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.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.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.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.
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
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 |
---|
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.
|
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.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.