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

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

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.benchmark	Benchmarking pseudo algorithms.
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.gdbscan	Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
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.clustering.subspace.clique	Helper classes for the CLIQUE algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.trivial	Trivial clustering algorithms: all in one, no clusters, label clusterings These methods are mostly useful for providing a reference result in evaluation.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial	Spatial outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial	Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
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.greedyensemble	Greedy ensembles for outlier detection.
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.projection	Data projections.
de.lmu.ifi.dbs.elki.data.spatial	Spatial data types - interfaces and utilities.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.database.relation	Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.
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.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.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.geo	Geographic (earth) distance functions.
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski	Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
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.distancevalue	Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.
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.clustering	Evaluation of clustering results.
de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments	Pair-segment analysis of multiple clusterings.
de.lmu.ifi.dbs.elki.evaluation.histogram	Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.evaluation.roc	Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies	Hash function families for LSH.
de.lmu.ifi.dbs.elki.index.lsh.hashfunctions	Hash functions for LSH
de.lmu.ifi.dbs.elki.index.preprocessed	Index structure based on preprocessors
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference	Indexes storing preference vectors.
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj	Index using a preprocessed local subspaces.
de.lmu.ifi.dbs.elki.index.projected	Projected indexes for data.
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.kd	K-d-tree and variants.
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.rstar	RStarTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split	Splitting strategies for R-Trees
de.lmu.ifi.dbs.elki.index.vafile	Vector Approximation File
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.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.scales	Scales handling for plotting.
de.lmu.ifi.dbs.elki.math.spacefillingcurves	Space filling curves.
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.naming	Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
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.referencepoints	Package containing strategies to obtain reference points Shared code for various algorithms that use reference points.
de.lmu.ifi.dbs.elki.visualization	Visualization package of ELKI.
de.lmu.ifi.dbs.elki.visualization.gui	Package to provide a visualization GUI.
de.lmu.ifi.dbs.elki.visualization.opticsplot	Code for drawing OPTICS plots
de.lmu.ifi.dbs.elki.visualization.projections	Visualization projections
de.lmu.ifi.dbs.elki.visualization.projector	Projectors are responsible for finding appropriate projections for data relations.
de.lmu.ifi.dbs.elki.visualization.style	Style management for ELKI visualizations.
de.lmu.ifi.dbs.elki.visualization.svg	Base SVG functionality (generation, markers, thumbnails, export, ...).
de.lmu.ifi.dbs.elki.visualization.visualizers.histogram	Visualizers based on 1D projected histograms.
de.lmu.ifi.dbs.elki.visualization.visualizers.optics	Visualizers that do work on OPTICS plots
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel	Visualizers based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster	Visualizers for clustering results based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot	Visualizers based on scatterplots.
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.selection	Visualizers for object selection based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj	Visualizers that do not use a particular projection.
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.
tutorial.distancefunction	Classes from the tutorial on implementing distance functions.

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

Class and Description
BitVector Provides a BitVector wrapping a BitSet.
NumberVector Interface NumberVector 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.algorithm.benchmark

Class and Description
NumberVector Interface NumberVector 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.algorithm.clustering

Class and Description
Clustering Result class for clusterings.
NumberVector Interface NumberVector 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.algorithm.clustering.correlation

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.

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

Class and Description
HyperBoundingBox HyperBoundingBox represents a hyperrectangle in the multidimensional space.
NumberVector Interface NumberVector 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.algorithm.clustering.gdbscan

Class and Description
Clustering Result class for clusterings.

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

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
Clustering Result class for clusterings.
NumberVector Interface NumberVector 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.algorithm.clustering.subspace

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
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.clustering.subspace.clique

Class and Description
Interval Represents an interval in a certain dimension of the data space.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
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.clustering.trivial

Class and Description
Clustering Result class for clusterings.

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

Class and Description
NumberVector Interface NumberVector 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.algorithm.outlier.lof

Class and Description
NumberVector Interface NumberVector 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.algorithm.outlier.meta

Class and Description
NumberVector Interface NumberVector 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.algorithm.outlier.spatial

Class and Description
NumberVector Interface NumberVector 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.algorithm.outlier.subspace

Class and Description
NumberVector Interface NumberVector 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.algorithm.outlier.trivial

Class and Description
NumberVector Interface NumberVector 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.algorithm.statistics

Class and Description
DoubleVector A DoubleVector is to store real values approximately as double values.
NumberVector Interface NumberVector 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.application.greedyensemble

Class and Description
NumberVector Interface NumberVector 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.data

Class and Description
AbstractNumberVector AbstractNumberVector is an abstract implementation of FeatureVector.
AbstractNumberVector.Factory Factory class.
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.
BitVector.Factory Factory for bit vectors.
ClassLabel A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
ClassLabel.Factory Class label factory.
Cluster Generic cluster class, that may or not have hierarchical information.
DoubleVector A DoubleVector is to store real values approximately as double values.
DoubleVector.Factory Factory for Double vectors.
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory Factory API for this feature vector.
FloatVector A FloatVector is to store real values with lower memory requirements by using float values.
FloatVector.Factory Factory for float vectors.
HierarchicalClassLabel A HierarchicalClassLabel is a ClassLabel to reflect a hierarchical structure of classes.
HyperBoundingBox HyperBoundingBox represents a hyperrectangle in the multidimensional space.
IntegerVector An IntegerVector is to store integer values.
IntegerVector.Factory Factory for integer vectors.
Interval Represents an interval in a certain dimension of the data space.
LabelList A list of string labels.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.
OneDimensionalDoubleVector Specialized class implementing a one-dimensional double vector without using an array.
OneDimensionalDoubleVector.Factory Factory class.
RationalNumber RationalNumber represents rational numbers in arbitrary precision.
SimpleClassLabel A simple class label casting a String as it is as label.
SparseDoubleVector A SparseDoubleVector is to store real values as double values.
SparseDoubleVector.Factory Factory class.
SparseFeatureVector Extended interface for sparse feature vector types.
SparseFloatVector A SparseFloatVector is to store real values approximately as float values.
SparseFloatVector.Factory Factory class.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory Factory for sparse number vectors: make from a dim-value map.
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.model

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
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.projection

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory Factory API for this feature vector.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.

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

Class and Description
HyperBoundingBox HyperBoundingBox represents a hyperrectangle in the multidimensional space.
ModifiableHyperBoundingBox MBR class allowing modifications (as opposed to HyperBoundingBox).

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

Class and Description
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.
DoubleVector A DoubleVector is to store real values approximately as double values.
ExternalID External ID objects.
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory Factory API for this feature vector.
FloatVector A FloatVector is to store real values with lower memory requirements by using float values.
LabelList A list of string labels.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SimpleClassLabel A simple class label casting a String as it is as label.
SparseDoubleVector A SparseDoubleVector is to store real values as double values.
SparseFloatVector A SparseFloatVector is to store real values approximately as float values.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.

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

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.

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

Class and Description
ClassLabel.Factory Class label factory.
DoubleVector A DoubleVector is to store real values approximately as double values.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.
SimpleClassLabel A simple class label casting a String as it is as label.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.

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

Class and Description
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.

Classes in de.lmu.ifi.dbs.elki.data used by de.lmu.ifi.dbs.elki.datasource.filter.transform

Class and Description
DoubleVector A DoubleVector is to store real values approximately as double values.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.

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

Class and Description
BitVector Provides a BitVector wrapping a BitSet.
LabelList A list of string labels.
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory Factory for sparse number vectors: make from a dim-value map.

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

Class and Description
NumberVector Interface NumberVector 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.colorhistogram

Class and Description
NumberVector Interface NumberVector 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

Class and Description
NumberVector Interface NumberVector 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.geo

Class and Description
NumberVector Interface NumberVector 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.minkowski

Class and Description
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.

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

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector Interface NumberVector 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.timeseries

Class and Description
NumberVector Interface NumberVector 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.distancevalue

Class and Description
Bit Provides a bit number.

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

Class and Description
NumberVector Interface NumberVector 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.similarityfunction.kernel

Class and Description
NumberVector Interface NumberVector 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.evaluation.clustering

Class and Description
Clustering Result class for clusterings.

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

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
DoubleVector A DoubleVector is to store real values approximately as double values.

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

Class and Description
Clustering Result class for clusterings.

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

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
NumberVector Interface NumberVector 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.index.lsh.hashfamilies

Class and Description
NumberVector Interface NumberVector 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.index.lsh.hashfunctions

Class and Description
NumberVector Interface NumberVector 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.index.preprocessed

Class and Description
NumberVector Interface NumberVector 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.index.preprocessed.knn

Class and Description
NumberVector Interface NumberVector 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.index.preprocessed.localpca

Class and Description
NumberVector Interface NumberVector 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.index.preprocessed.preference

Class and Description
NumberVector Interface NumberVector 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.index.preprocessed.subspaceproj

Class and Description
NumberVector Interface NumberVector 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.index.projected

Class and Description
NumberVector Interface NumberVector 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.index.tree.spatial

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
ModifiableHyperBoundingBox MBR class allowing modifications (as opposed to HyperBoundingBox).
NumberVector Interface NumberVector 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.index.tree.spatial.kd

Class and Description
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
VectorUtil.SortDBIDsBySingleDimension Compare number vectors by a single dimension.

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

Class and Description
ModifiableHyperBoundingBox MBR class allowing modifications (as opposed to HyperBoundingBox).
NumberVector Interface NumberVector 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.index.tree.spatial.rstarvariants.deliclu

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
ModifiableHyperBoundingBox MBR class allowing modifications (as opposed to HyperBoundingBox).
NumberVector Interface NumberVector 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.index.tree.spatial.rstarvariants.rstar

Class and Description
NumberVector Interface NumberVector 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.index.tree.spatial.rstarvariants.strategies.split

Class and Description
ModifiableHyperBoundingBox MBR class allowing modifications (as opposed to HyperBoundingBox).

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

Class and Description
NumberVector Interface NumberVector 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.math

Class and Description
NumberVector Interface NumberVector 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.math.dimensionsimilarity

Class and Description
NumberVector Interface NumberVector 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.math.linearalgebra

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
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

Class and Description
NumberVector Interface NumberVector 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.math.scales

Class and Description
NumberVector Interface NumberVector 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.math.spacefillingcurves

Class and Description
NumberVector Interface NumberVector 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.result

Class and Description
Clustering Result class for clusterings.
NumberVector Interface NumberVector 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.result.textwriter

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
ClassLabel A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector Interface NumberVector 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.utilities.datastructures.arraylike

Class and Description
FeatureVector Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
NumberVector Interface NumberVector 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.utilities.referencepoints

Class and Description
NumberVector Interface NumberVector 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.visualization

Class and Description
Clustering Result class for clusterings.

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

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

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

Class and Description
Clustering Result class for clusterings.

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

Class and Description
NumberVector Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
NumberVector.Factory Factory API for this feature vector.

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

Class and Description
NumberVector Interface NumberVector 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.visualization.style

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
NumberVector Interface NumberVector 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.visualization.visualizers.histogram

Class and Description
NumberVector Interface NumberVector 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.visualization.visualizers.optics

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
NumberVector Interface NumberVector 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.visualization.visualizers.parallel.cluster

Class and Description
Clustering Result class for clusterings.
NumberVector Interface NumberVector 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.visualization.visualizers.scatterplot

Class and Description
NumberVector Interface NumberVector 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.visualization.visualizers.scatterplot.cluster

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.
DoubleVector A DoubleVector is to store real values approximately as double values.
NumberVector Interface NumberVector 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.visualization.visualizers.scatterplot.selection

Class and Description
NumberVector Interface NumberVector 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.visualization.visualizers.visunproj

Class and Description
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.

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

Class and Description
Clustering Result class for clusterings.
NumberVector Interface NumberVector 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 tutorial.distancefunction

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