Uses of Package
de.lmu.ifi.dbs.elki.data

Packages that use de.lmu.ifi.dbs.elki.data

de.lmu.ifi.dbs.elki	ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.
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.correlation.cash	Helper classes for the CASH algorithm.
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.subspace.clique	Helper classes for the CLIQUE algorithm.
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.data.cluster	Cluster classes.
de.lmu.ifi.dbs.elki.data.cluster.naming	Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.connection	Database connections are classes implementing data sources.
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	Functionality for the evaluation of algorithms.
de.lmu.ifi.dbs.elki.evaluation.paircounting	Evaluation of clustering results via pair counting.
de.lmu.ifi.dbs.elki.index	Index structure implementations
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.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.deliclu	DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar	RStarTree
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.normalization	Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.parser	Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.parser.meta	MetaParsers 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
de.lmu.ifi.dbs.elki.result.textwriter	Text serialization (CSV, Gnuplot, Console, ...)
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	Visualization package of ELKI.
de.lmu.ifi.dbs.elki.visualization.scales	Scales handling for plotting.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm

BitVector
Provides a BitVector wrapping a BitSet.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.clustering

Clustering
Result class for clusterings.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Clustering
Result class for clusterings.

DoubleVector
A DoubleVector is to store real values approximately as double values.

ParameterizationFunction
A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

ParameterizationFunction
A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Clustering
Result class for clusterings.

DatabaseObjectGroupCollection
Collection-backed group of database object (references)

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique

Interval
Represents an interval in a certain dimension of the data space.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Subspace
Represents a subspace of the original data space.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.outlier

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.algorithm.statistics

DoubleVector
A DoubleVector is to store real values approximately as double values.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.application.cache

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.application.visualization

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.data

AbstractDatabaseObject
Abstract super class for all database objects.

Arithmetic
An interface to define requirements for a number to perform arithmetic operations.

Bit
Provides a bit number.

BitVector
Provides a BitVector wrapping a BitSet.

ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

DatabaseObjectGroup
Interface for a collection of database references (IDs).

DoubleVector
A DoubleVector is to store real values approximately as double values.

FeatureVector
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

FloatVector
A FloatVector is to store real values approximately as float values.

Interval
Represents an interval in a certain dimension of the data space.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

ParameterizationFunction.ExtremumType
Available types for the global extremum.

RationalNumber
RationalNumber represents rational numbers in arbitrary precision.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

SparseFloatVector
A SparseFloatVector is to store real values approximately as float values.

Subspace
Represents a subspace of the original data space.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.data.cluster

AbstractDatabaseObject
Abstract super class for all database objects.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

DatabaseObjectGroup
Interface for a collection of database references (IDs).

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.data.cluster.naming

Clustering
Result class for clusterings.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.data.model

DatabaseObjectGroup
Interface for a collection of database references (IDs).

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.database

ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

Clustering
Result class for clusterings.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.database.connection

ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

MultiRepresentedObject
MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.distancefunction

DatabaseObject
A DatabaseObject should provide handling of a database ID.

FeatureVector
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

MultiRepresentedObject
MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

FeatureVector
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.distancefunction.external

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

FeatureVector
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.similarityfunction

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

DatabaseObject
A DatabaseObject should provide handling of a database ID.

FeatureVector
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.evaluation

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.evaluation.paircounting

Clustering
Result class for clusterings.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

DatabaseObject
A DatabaseObject should provide handling of a database ID.

KNNList
A wrapper class for storing the k most similar comparable objects.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.spatial

FeatureVector
Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants

KNNList
A wrapper class for storing the k most similar comparable objects.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

KNNList
A wrapper class for storing the k most similar comparable objects.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

NumberVector
NumberVector is an abstract implementation of FeatureVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.math.linearalgebra

RationalNumber
RationalNumber represents rational numbers in arbitrary precision.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.math.linearalgebra.pca

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.normalization

DatabaseObject
A DatabaseObject should provide handling of a database ID.

MultiRepresentedObject
MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.parser

BitVector
Provides a BitVector wrapping a BitSet.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

DoubleVector
A DoubleVector is to store real values approximately as double values.

ExternalObject
Provides an id referencing an external data object.

FloatVector
A FloatVector is to store real values approximately as float values.

ParameterizationFunction
A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

SparseFloatVector
A SparseFloatVector is to store real values approximately as float values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.parser.meta

DatabaseObject
A DatabaseObject should provide handling of a database ID.

DoubleVector
A DoubleVector is to store real values approximately as double values.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

SparseFloatVector
A SparseFloatVector is to store real values approximately as float values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.preprocessing

DatabaseObject
A DatabaseObject should provide handling of a database ID.

NumberVector
NumberVector is an abstract implementation of FeatureVector.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.result

Clustering
Result class for clusterings.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.result.textwriter

DatabaseObject
A DatabaseObject should provide handling of a database ID.

DatabaseObjectGroup
Interface for a collection of database references (IDs).

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.result.textwriter.writers

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.utilities

ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.

DatabaseObject
A DatabaseObject should provide handling of a database ID.

DoubleVector
A DoubleVector is to store real values approximately as double values.

RealVector
RealVector is an abstract super class for all feature vectors having real numbers as values.

SparseFloatVector
A SparseFloatVector is to store real values approximately as float values.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.visualization

DatabaseObject
A DatabaseObject should provide handling of a database ID.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.visualization.scales

DoubleVector
A DoubleVector is to store real values approximately as double values.