Uses of Class
de.lmu.ifi.dbs.elki.utilities.Alias

Packages that use Alias

Package	Description
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.em	Expectation-Maximization clustering algorithm.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch	BIRCH clustering.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage	Linkages for hierarchical clustering.
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.optics	OPTICS family of clustering algorithms.
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.itemsetmining	Algorithms for frequent itemset mining such as APRIORI.
de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest	Association rule interestingness measures.
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.subspace	Subspace outlier detection methods Methods that detect outliers in subspaces (projections) of the data set.
de.lmu.ifi.dbs.elki.algorithm.projection	Data projections (see also preprocessing filters for basic projections).
de.lmu.ifi.dbs.elki.application	Base classes for standalone applications.
de.lmu.ifi.dbs.elki.application.experiments	Packaged experiments to make them easy to reproduce.
de.lmu.ifi.dbs.elki.data.projection.random	Random projection families
de.lmu.ifi.dbs.elki.datasource	Data normalization (and reconstitution) of data sets
de.lmu.ifi.dbs.elki.datasource.filter.cleaning	Filters for data cleaning.
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.selection	Filters for selecting and sorting data to process.
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 The general use-case for any parser is to create objects out of an InputStream (e.g. by reading a data file).
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.external	Distance functions using external data sources
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski	Minkowski space Lp 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, F-divergence, χ²-divergence, etc.
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.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.internal	Internal evaluation measures for clusterings.
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model
de.lmu.ifi.dbs.elki.gui.minigui	A very simple UI to build ELKI command lines
de.lmu.ifi.dbs.elki.gui.multistep	Multi-step GUI for ELKI
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree	MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split	Splitting strategies of nodes in an M-Tree (and variants)
de.lmu.ifi.dbs.elki.index.tree.spatial.kd	K-d-tree and variants
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar	RStarTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk	Packages for bulk-loading R*-Trees
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split	Splitting strategies for R-Trees
de.lmu.ifi.dbs.elki.math.geodesy	Functions for computing on the sphere / earth.
de.lmu.ifi.dbs.elki.math.statistics.distribution	Standard distributions, with random generation functionalities
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator	Estimators for statistical distributions.
de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta	Meta estimators: estimators that do not actually estimate themselves, but instead use other estimators, e.g. on a trimmed data set, or as an ensemble.
de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions	Kernel functions from statistics.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.utilities.scaling.outlier	Scaling of outlier scores, that require a statistical analysis of the occurring values
de.lmu.ifi.dbs.elki.visualization.parallel3d	3DPC: 3D parallel coordinate plot visualization for ELKI.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm

Classes in de.lmu.ifi.dbs.elki.algorithm with annotations of type Alias

Modifier and Type	Class and Description
class	KNNDistancesSampler<O> Provides an order of the kNN-distances for all objects within the database.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.em

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.em with annotations of type Alias

Modifier and Type	Class and Description
class	EM<V extends NumberVector,M extends MeanModel> Clustering by expectation maximization (EM-Algorithm), also known as Gaussian Mixture Modeling (GMM), with optional MAP regularization.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical with annotations of type Alias

Modifier and Type	Class and Description
class	AGNES<O> Hierarchical Agglomerative Clustering (HAC) or Agglomerative Nesting (AGNES) is a classic hierarchical clustering algorithm.
class	CLINK<O> CLINK algorithm for complete linkage.
class	SLINK<O> Implementation of the efficient Single-Link Algorithm SLINK of R.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.birch with annotations of type Alias

Modifier and Type	Class and Description
class	AverageInterclusterDistance Average intercluster distance.
class	AverageIntraclusterDistance Average intracluster distance.
class	CentroidEuclideanDistance Centroid Euclidean distance.
class	CentroidManhattanDistance Centroid Manhattan Distance Reference: Data Clustering for Very Large Datasets Plus Applications T.
class	DiameterCriterion Average Radius (R) criterion.
class	RadiusCriterion Average Radius (R) criterion.
class	VarianceIncreaseDistance Variance increase distance.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.linkage with annotations of type Alias

Modifier and Type	Class and Description
class	CentroidLinkage Centroid linkage — Unweighted Pair-Group Method using Centroids (UPGMC).
class	CompleteLinkage Complete-linkage ("maximum linkage") clustering method.
class	FlexibleBetaLinkage Flexible-beta linkage as proposed by Lance and Williams.
class	GroupAverageLinkage Group-average linkage clustering method (UPGMA).
class	MedianLinkage Median-linkage — weighted pair group method using centroids (WPGMC).
class	MinimumVarianceLinkage Minimum increase in variance (MIVAR) linkage.
class	SingleLinkage Single-linkage ("minimum") clustering method.
class	WardLinkage Ward's method clustering method.
class	WeightedAverageLinkage Weighted average linkage clustering method (WPGMA).

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans with annotations of type Alias

Modifier and Type	Class and Description
class	KMeansLloyd<V extends NumberVector> The standard k-means algorithm, using bulk iterations and commonly attributed to Lloyd and Forgy (independently).
class	KMedoidsPark<V> A k-medoids clustering algorithm, implemented as EM-style bulk algorithm.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization with annotations of type Alias

Modifier and Type	Class and Description
class	FarthestPointsInitialMeans<O> K-Means initialization by repeatedly choosing the farthest point (by the minimum distance to earlier points).
class	FirstKInitialMeans<O> Initialize K-means by using the first k objects as initial means.
class	KMeansPlusPlusInitialMeans<O> K-Means++ initialization for k-means.
class	PAMInitialMeans<O> PAM initialization for k-means (and of course, for PAM).
class	RandomlyChosenInitialMeans<O> Initialize K-means by randomly choosing k existing elements as initial cluster centers.
class	RandomUniformGeneratedInitialMeans Initialize k-means by generating random vectors (uniform, within the value range of the data set).
class	SampleKMeansInitialization<V extends NumberVector> Initialize k-means by running k-means on a sample of the data set only.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.optics with annotations of type Alias

Modifier and Type	Class and Description
class	AbstractOPTICS<O> The OPTICS algorithm for density-based hierarchical clustering.
class	DeLiClu<V extends NumberVector> DeliClu: Density-Based Hierarchical Clustering A hierarchical algorithm to find density-connected sets in a database, closely related to OPTICS but exploiting the structure of a R-tree for acceleration.
class	OPTICSHeap<O> The OPTICS algorithm for density-based hierarchical clustering.
class	OPTICSXi Extract clusters from OPTICS Plots using the original Xi extraction.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.trivial with annotations of type Alias

Modifier and Type	Class and Description
class	ByLabelClustering Pseudo clustering using labels.
class	ByLabelHierarchicalClustering Pseudo clustering using labels.
class	TrivialAllInOne Trivial pseudo-clustering that just considers all points to be one big cluster.
class	TrivialAllNoise Trivial pseudo-clustering that just considers all points to be noise.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.itemsetmining

Classes in de.lmu.ifi.dbs.elki.algorithm.itemsetmining with annotations of type Alias

Modifier and Type	Class and Description
class	APRIORI The APRIORI algorithm for Mining Association Rules.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest

Classes in de.lmu.ifi.dbs.elki.algorithm.itemsetmining.associationrules.interest with annotations of type Alias

Modifier and Type	Class and Description
class	CertaintyFactor Certainty factor (CF; Loevinger) interestingness measure. \( \tfrac{\text{confidence}(X \rightarrow Y) - \text{support}(Y)}{\text{support}(\neg Y)} \).

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased with annotations of type Alias

Modifier and Type	Class and Description
class	ABOD<V extends NumberVector> Angle-Based Outlier Detection / Angle-Based Outlier Factor.
class	FastABOD<V extends NumberVector> Fast-ABOD (approximateABOF) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.
class	LBABOD<V extends NumberVector> LB-ABOD (lower-bound) version of Angle-Based Outlier Detection / Angle-Based Outlier Factor.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering with annotations of type Alias

Modifier and Type	Class and Description
class	EMOutlier<V extends NumberVector> Outlier detection algorithm using EM Clustering.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.distance with annotations of type Alias

Modifier and Type	Class and Description
class	DBOutlierDetection<O> Simple distanced based outlier detection algorithm.
class	DBOutlierScore<O> Compute percentage of neighbors in the given neighborhood with size d.
class	HilOut<O extends NumberVector> Fast Outlier Detection in High Dimensional Spaces Outlier Detection using Hilbert space filling curves Reference: F.
class	KNNOutlier<O> Outlier Detection based on the distance of an object to its k nearest neighbor.
class	KNNWeightOutlier<O> Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.
class	ODIN<O> Outlier detection based on the in-degree of the kNN graph.
class	ReferenceBasedOutlierDetection Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.lof with annotations of type Alias

Modifier and Type	Class and Description
class	ALOCI<O extends NumberVector> Fast Outlier Detection Using the "approximate Local Correlation Integral".
class	INFLO<O> Influence Outliers using Symmetric Relationship (INFLO) using two-way search, is an outlier detection method based on LOF; but also using the reverse kNN.
class	LDF<O extends NumberVector> Outlier Detection with Kernel Density Functions.
class	LDOF<O> Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
class	LOCI<O> Fast Outlier Detection Using the "Local Correlation Integral".
class	LOF<O> Algorithm to compute density-based local outlier factors in a database based on a specified parameter -lof.k.
class	LoOP<O> LoOP: Local Outlier Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability.
class	OnlineLOF<O> Incremental version of the LOF Algorithm, supports insertions and removals.
class	SimpleKernelDensityLOF<O extends NumberVector> A simple variant of the LOF algorithm, which uses a simple kernel density estimation instead of the local reachability density.
class	SimplifiedLOF<O> A simplified version of the original LOF algorithm, which does not use the reachability distance, yielding less stable results on inliers.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace with annotations of type Alias

Modifier and Type	Class and Description
class	AggarwalYuEvolutionary<V extends NumberVector> Evolutionary variant (EAFOD) of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
class	AggarwalYuNaive<V extends NumberVector> BruteForce variant of the high-dimensional outlier detection algorithm by Aggarwal and Yu.
class	SOD<V extends NumberVector> Subspace Outlier Degree.

Uses of Alias in de.lmu.ifi.dbs.elki.algorithm.projection

Classes in de.lmu.ifi.dbs.elki.algorithm.projection with annotations of type Alias

Modifier and Type	Class and Description
class	TSNE<O> t-Stochastic Neighbor Embedding is a projection technique designed for visualization that tries to preserve the nearest neighbor structure.

Uses of Alias in de.lmu.ifi.dbs.elki.application

Classes in de.lmu.ifi.dbs.elki.application with annotations of type Alias

Modifier and Type	Class and Description
class	KDDCLIApplication Basic command line application for Knowledge Discovery in Databases use cases.

Uses of Alias in de.lmu.ifi.dbs.elki.application.experiments

Classes in de.lmu.ifi.dbs.elki.application.experiments with annotations of type Alias

Modifier and Type	Class and Description
class	VisualizeGeodesicDistances Visualization function for Cross-track, Along-track, and minimum distance function.

Uses of Alias in de.lmu.ifi.dbs.elki.data.projection.random

Classes in de.lmu.ifi.dbs.elki.data.projection.random with annotations of type Alias

Modifier and Type	Class and Description
class	AchlioptasRandomProjectionFamily Random projections as suggested by Dimitris Achlioptas.
class	CauchyRandomProjectionFamily Random projections using Cauchy distributions (1-stable).
class	GaussianRandomProjectionFamily Random projections using Cauchy distributions (1-stable).
class	RandomSubsetProjectionFamily Random projection family based on selecting random features.
class	SimplifiedRandomHyperplaneProjectionFamily Random hyperplane projection family.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource

Classes in de.lmu.ifi.dbs.elki.datasource with annotations of type Alias

Modifier and Type	Class and Description
class	EmptyDatabaseConnection Pseudo database that is empty.
class	FileBasedDatabaseConnection File based database connection based on the parser to be set.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.filter.cleaning

Classes in de.lmu.ifi.dbs.elki.datasource.filter.cleaning with annotations of type Alias

Modifier and Type	Class and Description
class	DropNaNFilter A filter to drop all records that contain NaN values.
class	NoMissingValuesFilter A filter to remove entries that have missing values.
class	ReplaceNaNWithRandomFilter A filter to replace all NaN values with random values.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise

Classes in de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise with annotations of type Alias

Modifier and Type	Class and Description
class	AttributeWiseCDFNormalization<V extends NumberVector> Class to perform and undo a normalization on real vectors by estimating the distribution of values along each dimension independently, then rescaling objects to the cumulative density function (CDF) value at the original coordinate.
class	AttributeWiseMADNormalization<V extends NumberVector> Median Absolute Deviation is used for scaling the data set as follows: First, the median, and median absolute deviation are computed in each axis.
class	AttributeWiseMinMaxNormalization<V extends NumberVector> Class to perform and undo a normalization on real vectors with respect to a given minimum and maximum in each dimension.
class	AttributeWiseVarianceNormalization<V extends NumberVector> Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.
class	IntegerRankTieNormalization Normalize vectors according to their rank in the attributes.
class	InverseDocumentFrequencyNormalization<V extends SparseNumberVector> Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise

Classes in de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise with annotations of type Alias

Modifier and Type	Class and Description
class	LengthNormalization<V extends NumberVector> Class to perform a normalization on vectors to norm 1.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.filter.selection

Classes in de.lmu.ifi.dbs.elki.datasource.filter.selection with annotations of type Alias

Modifier and Type	Class and Description
class	ByLabelFilter A filter to select data set by their label.
class	RandomSamplingStreamFilter Subsampling stream filter.
class	ShuffleObjectsFilter A filter to shuffle the dataset.
class	SortByLabelFilter A filter to sort the data set by some label.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.filter.transform

Classes in de.lmu.ifi.dbs.elki.datasource.filter.transform with annotations of type Alias

Modifier and Type	Class and Description
class	ClassicMultidimensionalScalingTransform<I,O extends NumberVector> Rescale the data set using multidimensional scaling, MDS.
class	FastMultidimensionalScalingTransform<I,O extends NumberVector> Rescale the data set using multidimensional scaling, MDS.
class	GlobalPrincipalComponentAnalysisTransform<O extends NumberVector> Apply Principal Component Analysis (PCA) to the data set.
class	HistogramJitterFilter<V extends NumberVector> Add Jitter, preserving the histogram properties (same sum, nonnegative).
class	LinearDiscriminantAnalysisFilter<V extends NumberVector> Linear Discriminant Analysis (LDA) / Fisher's linear discriminant.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions

Classes in de.lmu.ifi.dbs.elki.datasource.filter.typeconversions with annotations of type Alias

Modifier and Type	Class and Description
class	ClassLabelFilter Class that turns a label column into a class label column.
class	ClassLabelFromPatternFilter Streaming filter to derive an outlier class label.
class	ExternalIDFilter Class that turns a label column into an external ID column.
class	SparseVectorFieldFilter<V extends SparseNumberVector> Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.
class	SplitNumberVectorFilter<V extends NumberVector> Split an existing column into two types.

Uses of Alias in de.lmu.ifi.dbs.elki.datasource.parser

Classes in de.lmu.ifi.dbs.elki.datasource.parser with annotations of type Alias

Modifier and Type	Class and Description
class	BitVectorLabelParser Parser for parsing one BitVector per line, bits separated by whitespace.
class	NumberVectorLabelParser<V extends NumberVector> Parser for a simple CSV type of format, with columns separated by the given pattern (default: whitespace).

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction with annotations of type Alias

Modifier and Type	Class and Description
class	ArcCosineDistanceFunction Arcus cosine distance function for feature vectors.
class	BrayCurtisDistanceFunction Bray-Curtis distance function / Sørensen–Dice coefficient for continuous vector spaces (not only binary data).
class	CanberraDistanceFunction Canberra distance function, a variation of Manhattan distance.
class	CosineDistanceFunction Cosine distance function for feature vectors.

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter with annotations of type Alias

Modifier and Type	Class and Description
class	ArccosSimilarityAdapter<O> Adapter from a normalized similarity function to a distance function using arccos(sim).
class	LinearAdapterLinear<O> Adapter from a normalized similarity function to a distance function using 1 - sim.
class	LnSimilarityAdapter<O> Adapter from a normalized similarity function to a distance function using -log(sim).

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction.external

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.external with annotations of type Alias

Modifier and Type	Class and Description
class	AsciiDistanceParser Parser for parsing one distance value per line.
class	FileBasedSparseDoubleDistanceFunction Distance function that is based on double distances given by a distance matrix of an external ASCII file.
class	FileBasedSparseFloatDistanceFunction Distance function that is based on float distances given by a distance matrix of an external ASCII file.

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski with annotations of type Alias

Modifier and Type	Class and Description
class	EuclideanDistanceFunction Euclidean distance for NumberVectors.
class	LPNormDistanceFunction Lp-Norm (Minkowski norms) are a family of distances for NumberVectors.
class	ManhattanDistanceFunction Manhattan distance for NumberVectors.
class	MaximumDistanceFunction Maximum distance for NumberVectors.
class	MinimumDistanceFunction Minimum distance for NumberVectors.
class	SparseEuclideanDistanceFunction Euclidean distance function, optimized for SparseNumberVectors.
class	SparseLPNormDistanceFunction Lp-Norm, optimized for SparseNumberVectors.
class	SparseManhattanDistanceFunction Manhattan distance, optimized for SparseNumberVectors.
class	SparseMaximumDistanceFunction Maximum distance, optimized for SparseNumberVectors.
class	SquaredEuclideanDistanceFunction Squared Euclidean distance, optimized for SparseNumberVectors.
class	WeightedLPNormDistanceFunction Weighted version of the Minkowski Lp norm distance for NumberVector.
class	WeightedSquaredEuclideanDistanceFunction Weighted squared Euclidean distance for NumberVectors.

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic with annotations of type Alias

Modifier and Type	Class and Description
class	ChiDistanceFunction χ distance function, symmetric version.
class	ChiSquaredDistanceFunction χ² distance function, symmetric version.
class	FisherRaoDistanceFunction Fisher-Rao riemannian metric for (discrete) probability distributions.
class	HellingerDistanceFunction Hellinger metric / affinity / kernel, Bhattacharyya coefficient, fidelity similarity, Matusita distance, Hellinger-Kakutani metric on a probability distribution.
class	JeffreyDivergenceDistanceFunction Jeffrey Divergence for NumberVectors is a symmetric, smoothened version of the KullbackLeiblerDivergenceAsymmetricDistanceFunction.
class	KullbackLeiblerDivergenceAsymmetricDistanceFunction Kullback-Leibler divergence, also known as relative entropy, information deviation, or just KL-distance (albeit asymmetric).
class	KullbackLeiblerDivergenceReverseAsymmetricDistanceFunction Kullback-Leibler divergence, also known as relative entropy, information deviation or just KL-distance (albeit asymmetric).

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction.set

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.set with annotations of type Alias

Modifier and Type	Class and Description
class	JaccardSimilarityDistanceFunction A flexible extension of Jaccard similarity to non-binary vectors.

Uses of Alias in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with annotations of type Alias

Modifier and Type	Class and Description
class	OnedimensionalDistanceFunction Distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension only.
class	SubspaceEuclideanDistanceFunction Euclidean distance function between NumberVectors only in specified dimensions.

Uses of Alias in de.lmu.ifi.dbs.elki.distance.similarityfunction

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction with annotations of type Alias

Modifier and Type	Class and Description
class	Kulczynski1SimilarityFunction Kulczynski similarity 1.

Uses of Alias in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel with annotations of type Alias

Modifier and Type	Class and Description
class	RadialBasisFunctionKernelFunction Gaussian radial basis function kernel (RBF Kernel).
class	SigmoidKernelFunction Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer perceptron MLP kernel).

Uses of Alias in de.lmu.ifi.dbs.elki.evaluation.clustering

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering with annotations of type Alias

Modifier and Type	Class and Description
class	EvaluateClustering Evaluate a clustering result by comparing it to an existing cluster label.

Uses of Alias in de.lmu.ifi.dbs.elki.evaluation.clustering.internal

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering.internal with annotations of type Alias

Modifier and Type	Class and Description
class	EvaluateVarianceRatioCriteria<O> Compute the Variance Ratio Criteria of a data set, also known as Calinski-Harabasz index.

Uses of Alias in de.lmu.ifi.dbs.elki.evaluation.outlier

Classes in de.lmu.ifi.dbs.elki.evaluation.outlier with annotations of type Alias

Modifier and Type	Class and Description
class	ComputeOutlierHistogram Compute a Histogram to evaluate a ranking algorithm.
class	OutlierROCCurve Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.

Uses of Alias in de.lmu.ifi.dbs.elki.gui.minigui

Classes in de.lmu.ifi.dbs.elki.gui.minigui with annotations of type Alias

Modifier and Type	Class and Description
class	MiniGUI Minimal GUI built around a table-based parameter editor.

Uses of Alias in de.lmu.ifi.dbs.elki.gui.multistep

Classes in de.lmu.ifi.dbs.elki.gui.multistep with annotations of type Alias

Modifier and Type	Class and Description
class	MultiStepGUI Experimenter-style multi step GUI.

Uses of Alias in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn with annotations of type Alias

Modifier and Type	Class and Description
class	MaterializeKNNPreprocessor<O> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
class	SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector,N extends SpatialNode<N,E>,E extends SpatialEntry> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

Uses of Alias in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree with annotations of type Alias

Modifier and Type	Class and Description
class	MTreeFactory<O> Factory for a M-Tree

Uses of Alias in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split with annotations of type Alias

Modifier and Type	Class and Description
class	MLBDistSplit<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> Encapsulates the required methods for a split of a node in an M-Tree.
class	MRadSplit<E extends MTreeEntry,N extends AbstractMTreeNode<?,N,E>> Encapsulates the required methods for a split of a node in an M-Tree.

Uses of Alias in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.kd with annotations of type Alias

Modifier and Type	Class and Description
static class	MinimalisticMemoryKDTree.Factory<O extends NumberVector> Factory class
static class	SmallMemoryKDTree.Factory<O extends NumberVector> Factory class

Uses of Alias in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar with annotations of type Alias

Modifier and Type	Class and Description
class	RStarTreeFactory<O extends NumberVector> Factory for regular R*-Trees.

Uses of Alias in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk with annotations of type Alias

Modifier and Type	Class and Description
class	MaxExtensionBulkSplit Split strategy for bulk-loading a spatial tree where the split axes are the dimensions with maximum extension.
class	SortTileRecursiveBulkSplit Sort-Tile-Recursive aims at tiling the data space with a grid-like structure for partitioning the dataset into the required number of buckets.

Uses of Alias in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split with annotations of type Alias

Modifier and Type	Class and Description
class	TopologicalSplitter Encapsulates the required parameters for a topological split of a R*-Tree.

Uses of Alias in de.lmu.ifi.dbs.elki.math.geodesy

Classes in de.lmu.ifi.dbs.elki.math.geodesy with annotations of type Alias

Modifier and Type	Class and Description
class	Clarke1858SpheroidEarthModel The Clarke 1858 spheroid earth model.
class	Clarke1880SpheroidEarthModel The Clarke 1880 spheroid earth model.
class	GRS67SpheroidEarthModel The GRS 67 spheroid earth model.
class	GRS80SpheroidEarthModel The GRS 80 spheroid earth model, without height model (so not a geoid, just a spheroid!)
class	WGS72SpheroidEarthModel The WGS72 spheroid earth model, without height model.
class	WGS84SpheroidEarthModel The WGS84 spheroid earth model, without height model (so not a geoid, just a spheroid!)

Uses of Alias in de.lmu.ifi.dbs.elki.math.statistics.distribution

Classes in de.lmu.ifi.dbs.elki.math.statistics.distribution with annotations of type Alias

Modifier and Type	Class and Description
class	ExponentiallyModifiedGaussianDistribution Exponentially modified Gaussian (EMG) distribution (ExGaussian distribution) is a combination of a normal distribution and an exponential distribution.
class	GammaDistribution Gamma Distribution, with random generation and density functions.
class	InverseGaussianDistribution Inverse Gaussian distribution aka Wald distribution.
class	LaplaceDistribution Laplace distribution also known as double exponential distribution
class	LogisticDistribution Logistic distribution.
class	LogLogisticDistribution Log-Logistic distribution also known as Fisk distribution.
class	LogNormalDistribution Log-Normal distribution.
class	NormalDistribution Gaussian distribution aka normal distribution
class	UniformDistribution Uniform distribution.

Uses of Alias in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator

Classes in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator with annotations of type Alias

Modifier and Type	Class and Description
class	InverseGaussianMLEstimator Estimate parameter of the inverse Gaussian (Wald) distribution.
class	InverseGaussianMOMEstimator Estimate parameter of the inverse Gaussian (Wald) distribution.

Uses of Alias in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta

Classes in de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta with annotations of type Alias

Modifier and Type	Class and Description
class	WinsorizingEstimator<D extends Distribution> Winsorizing or Georgization estimator.

Uses of Alias in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions

Classes in de.lmu.ifi.dbs.elki.math.statistics.kernelfunctions with annotations of type Alias

Modifier and Type	Class and Description
class	BiweightKernelDensityFunction Biweight (Quartic) kernel density estimator.
class	EpanechnikovKernelDensityFunction Epanechnikov kernel density estimator.
class	TriweightKernelDensityFunction Triweight kernel density estimator.

Uses of Alias in de.lmu.ifi.dbs.elki.result

Classes in de.lmu.ifi.dbs.elki.result with annotations of type Alias

Modifier and Type	Class and Description
class	AutomaticVisualization Handler to process and visualize a Result.
class	ExportVisualizations Class that automatically generates all visualizations and exports them into SVG files.

Uses of Alias in de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Classes in de.lmu.ifi.dbs.elki.utilities.scaling.outlier with annotations of type Alias

Modifier and Type	Class and Description
class	MixtureModelOutlierScaling Tries to fit a mixture model (exponential for inliers and gaussian for outliers) to the outlier score distribution.
class	SigmoidOutlierScaling Tries to fit a sigmoid to the outlier scores and use it to convert the values to probability estimates in the range of 0.0 to 1.0 Reference: J.

Uses of Alias in de.lmu.ifi.dbs.elki.visualization.parallel3d

Classes in de.lmu.ifi.dbs.elki.visualization.parallel3d with annotations of type Alias

Modifier and Type	Class and Description
class	OpenGL3DParallelCoordinates<O extends NumberVector> Simple JOGL2 based parallel coordinates visualization.