Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Package
de.lmu.ifi.dbs.elki.distance.distancefunction

Packages that use de.lmu.ifi.dbs.elki.distance.distancefunction
de.lmu.ifi.dbs.elki.algorithm Algorithms suitable as a task for the KDDTask main routine. 
de.lmu.ifi.dbs.elki.algorithm.clustering Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface. 
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation Correlation clustering algorithms 
de.lmu.ifi.dbs.elki.algorithm.clustering.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.outlier Outlier detection algorithms 
de.lmu.ifi.dbs.elki.algorithm.statistics Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.) 
de.lmu.ifi.dbs.elki.application.cache Utility applications for the persistence layer such as distance cache builders. 
de.lmu.ifi.dbs.elki.application.visualization Visualization applications in ELKI. 
de.lmu.ifi.dbs.elki.database ELKI database layer - loading, storing, indexing and accessing data 
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.colorhistogram Distance functions using correlations. 
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation Distance functions using correlations. 
de.lmu.ifi.dbs.elki.distance.distancefunction.external Distance functions using external data sources. 
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace Distance functions based on subspaces. 
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries Distance functions designed for time series. 
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel Kernel functions. 
de.lmu.ifi.dbs.elki.index.tree.metrical Tree-based index structures for metrical vector spaces. 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants M-Tree and variants. 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop MkCoPTree 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax MkMaxTree 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab MkTabTree 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split Splitting strategies of nodes in an M-Tree (and variants). 
de.lmu.ifi.dbs.elki.index.tree.spatial Tree-based index structures for spatial indexing. 
de.lmu.ifi.dbs.elki.math.linearalgebra.pca Principal Component Analysis (PCA) and Eigenvector processing. 
de.lmu.ifi.dbs.elki.parser Parsers for different file formats and data types. 
de.lmu.ifi.dbs.elki.preprocessing Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. 
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints Constraints allow to restrict possible values for parameters. 
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.clustering
AbstractLocallyWeightedDistanceFunction
          Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
LocalPCAPreprocessorBasedDistanceFunction
          Interface for local PCA based preprocessors.
PCACorrelationDistance
          The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
PreprocessorBasedDistanceFunction
          Interface to mark preprocessor based distance functions.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
EuclideanDistanceFunction
          Provides the Euclidean distance for FeatureVectors.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.outlier
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.algorithm.statistics
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.application.cache
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.application.visualization
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.database
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
AbstractLocallyWeightedDistanceFunction
          Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
LocalPCAPreprocessorBasedDistanceFunction
          Interface for local PCA based preprocessors.
PCACorrelationDistance
          The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
PreprocessorBasedDistanceFunction
          Interface to mark preprocessor based distance functions.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
WeightedDistanceFunction
          Provides the Weighted distance for feature vectors.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
AbstractPreprocessorBasedDistanceFunction
          Abstract super class for distance functions needing a preprocessor.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
LocalPCAPreprocessorBasedDistanceFunction
          Interface for local PCA based preprocessors.
PCACorrelationDistance
          The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
PreprocessorBasedDistanceFunction
          Interface to mark preprocessor based distance functions.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.external
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
AbstractPreprocessorBasedDistanceFunction
          Abstract super class for distance functions needing a preprocessor.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
LocalPCAPreprocessorBasedDistanceFunction
          Interface for local PCA based preprocessors.
PreprocessorBasedDistanceFunction
          Interface to mark preprocessor based distance functions.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
AbstractDistanceFunction
          AbstractDistanceFunction provides some methods valid for any extending class.
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.index.tree.spatial
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.math.linearalgebra.pca
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.parser
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.preprocessing
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction used by de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
DistanceFunction
          Interface DistanceFunction describes the requirements of any distance function.
 


Release 0.3 (2010-03-31_1612)