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.classification	Classification algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation	Affinity Propagation (AP) clustering.
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering	Biclustering 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.em	Expectation-Maximization clustering algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
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.kmeans.quality	Quality measures for k-Means results.
de.lmu.ifi.dbs.elki.algorithm.clustering.meta	Meta clustering algorithms, that get their result from other clusterings or external sources.
de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional	Clustering algorithms for one-dimensional data.
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
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.clustering.uncertain	Clustering algorithms for uncertain data.
de.lmu.ifi.dbs.elki.algorithm.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased	Angle-based outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering	Clustering based outlier detection.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
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.svm	Support-Vector-Machines for outlier detection.
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.data.uncertain	Uncertain data objects.
de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier	Classes to generate uncertain objects from existing certain data.
de.lmu.ifi.dbs.elki.database.query.knn	Prepared queries for k nearest neighbor (kNN) queries.
de.lmu.ifi.dbs.elki.database.query.range	Prepared queries for ε-range queries, that return all objects within the radius ε.
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.cleaning	Filters for data cleaning.
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.normalization.instancewise	Instancewise normalization, where each instance is normalized independently.
de.lmu.ifi.dbs.elki.datasource.filter.transform	Data space transformations.
de.lmu.ifi.dbs.elki.datasource.filter.typeconversions	Filters to perform data type conversions.
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.histogram	Distance functions for one-dimensional histograms.
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.probabilistic	Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
de.lmu.ifi.dbs.elki.distance.distancefunction.set	Distance functions for binary and set type data.
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.cluster	Similarity measures for comparing clusters.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.evaluation.classification	Evaluation of classification algorithms.
de.lmu.ifi.dbs.elki.evaluation.classification.holdout	Holdout and cross-validation strategies for evaluating classifiers.
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results.
de.lmu.ifi.dbs.elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.
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.scores	Evaluation of rankings and scorings.
de.lmu.ifi.dbs.elki.evaluation.scores.adapter	Adapter classes for ranking and scoring measures.
de.lmu.ifi.dbs.elki.index.invertedlist	Indexes using inverted lists.
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.fastoptics	Preprocessed index used by the FastOPTICS algorithm.
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.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.flat	FlatRStarTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
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.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.linearalgebra.randomprojections	Random projection families.
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.actions	Action-only "visualizers" that only produce menu entries.
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.selection	Visualizers for object selection based on parallel projections.
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
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.classification

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.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.affinitypropagation

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.biclustering

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.

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.em

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.gdbscan

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.hierarchical.extraction

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
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.

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

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.
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.kmeans.parallel

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.kmeans.quality

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.

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

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.onedimensional

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.optics

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
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.clustering.uncertain

Class and Description
Clustering Result class for clusterings.
DoubleVector Vector type using double[] storage for real numbers.
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.itemsetmining

Class and Description
BitVector Vector using a dense bit set encoding, based on long[] storage.
SparseFeatureVector Extended interface for sparse feature vector types.

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.anglebased

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.clustering

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.distance

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.svm

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 Vector type using double[] storage for real numbers.
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.
Bit A boolean number type.
BitVector Vector using a dense bit set encoding, based on long[] storage.
BitVector.Factory Factory for bit vectors.
ByteVector Vector using byte[] storage.
ByteVector.Factory Factory for Byte 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 Vector type using double[] storage for real numbers.
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 Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
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 Vector type using int[] storage.
IntegerVector.Factory Factory for integer vectors.
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.
ShortVector Vector type using short[] storage.
ShortVector.Factory Factory for Short vectors.
SimpleClassLabel A simple class label casting a String as it is as label.
SparseByteVector Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
SparseByteVector.Factory Factory class.
SparseDoubleVector Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
SparseDoubleVector.Factory Factory class.
SparseFeatureVector Extended interface for sparse feature vector types.
SparseFloatVector Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
SparseFloatVector.Factory Factory class.
SparseIntegerVector Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.
SparseIntegerVector.Factory Factory class.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory Factory for sparse number vectors: make from a dim-value map.
SparseShortVector Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.
SparseShortVector.Factory Factory class.
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.
NumberVector.Factory Factory API for this feature vector.
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
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 Vector using a dense bit set encoding, based on long[] storage.
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.
DoubleVector Vector type using double[] storage for real numbers.
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 Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
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 Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
SparseFloatVector Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.

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

Class and Description
DoubleVector Vector type using double[] storage for real numbers.
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.
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.data.uncertain.uncertainifier

Class and Description
FeatureVector.Factory Factory API for this feature vector.

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

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.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
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.cleaning

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.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.

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

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.
SparseNumberVector Combines the SparseFeatureVector and NumberVector.

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

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.datasource.filter.transform

Class and Description
ClassLabel A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
DoubleVector Vector type using double[] storage for real numbers.
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.typeconversions

Class and Description
ClassLabel.Factory Class label factory.
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.
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.parser

Class and Description
BitVector Vector using a dense bit set encoding, based on long[] storage.
Clustering Result class for clusterings.
ExternalID External ID objects.
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.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.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.probabilistic

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.set

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.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.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.cluster

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.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.classification

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.evaluation.classification.holdout

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.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.internal

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.

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 Vector type using double[] storage for real numbers.

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.scores

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

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

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.invertedlist

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.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.fastoptics

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.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.flat

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.query

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.rdknn

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).
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.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.linearalgebra.randomprojections

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
BitVector Vector using a dense bit set encoding, based on long[] storage.
Cluster Generic cluster class, that may or not have hierarchical information.
Clustering Result class for clusterings.
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.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.

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.actions

Class and Description
Clustering Result class for clusterings.

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.selection

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.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.

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

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.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.