Uses of Class
de.lmu.ifi.dbs.elki.algorithm.DistanceBasedAlgorithm

Packages that use DistanceBasedAlgorithm

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.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.)

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

Subclasses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm

class	DependencyDerivator<V extends NumberVector<V,?>,D extends Distance<D>> Dependency derivator computes quantitatively linear dependencies among attributes of a given dataset based on a linear correlation PCA.
class	KNNDistanceOrder<O extends DatabaseObject,D extends Distance<D>> Provides an order of the kNN-distances for all objects within the database.
class	KNNJoin<V extends NumberVector<V,?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> Joins in a given spatial database to each object its k-nearest neighbors.
class	MaterializeDistances<V extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Algorithm to materialize all the distances in a data set.

Uses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm.clustering

Subclasses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm.clustering

class	DBSCAN<O extends DatabaseObject,D extends Distance<D>> DBSCAN provides the DBSCAN algorithm, an algorithm to find density-connected sets in a database.
class	DeLiClu<O extends NumberVector<O,?>,D extends Distance<D>> DeLiClu provides the DeLiClu algorithm, a hierarchical algorithm to find density-connected sets in a database.
class	KMeans<D extends Distance<D>,V extends NumberVector<V,?>> Provides the k-means algorithm.
class	OPTICS<O extends DatabaseObject,D extends Distance<D>> OPTICS provides the OPTICS algorithm.
class	SLINK<O extends DatabaseObject,D extends Distance<D>> Efficient implementation of the Single-Link Algorithm SLINK of R.

Uses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier

Subclasses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm.outlier

class	ABOD<V extends NumberVector<V,?>> Angle-Based Outlier Detection Outlier detection using variance analysis on angles, especially for high dimensional data sets.
class	AbstractDBOutlier<O extends DatabaseObject,D extends Distance<D>> Simple distance based outlier detection algorithms.
class	DBOutlierDetection<O extends DatabaseObject,D extends Distance<D>> Simple distanced based outlier detection algorithm.
class	DBOutlierScore<O extends DatabaseObject,D extends Distance<D>> Compute percentage of neighbors in the given neighborhood with size d.
class	INFLO<O extends DatabaseObject> INFLO provides the Mining Algorithms (Two-way Search Method) for Influence Outliers using Symmetric Relationship Reference: Jin, W., Tung, A., Han, J., and Wang, W. 2006 Ranking outliers using symmetric neighborhood relationship< br/> In Proc.
class	KNNOutlier<O extends DatabaseObject,D extends DoubleDistance> Outlier Detection based on the distance of an object to its k nearest neighbor.
class	KNNWeightOutlier<O extends DatabaseObject,D extends DoubleDistance> Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.
class	LDOF<O extends DatabaseObject> Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
class	LOCI<O extends DatabaseObject,D extends NumberDistance<D,?>> Fast Outlier Detection Using the "Local Correlation Integral".
class	LOF<O extends DatabaseObject,D extends NumberDistance<D,?>> Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.K_ID (-lof.k).
class	OPTICSOF<O extends DatabaseObject> OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database.
class	ReferenceBasedOutlierDetection<V extends NumberVector<V,N>,N extends Number> provides the Reference-Based Outlier Detection algorithm, an algorithm that computes kNN distances approximately, using reference points.

Uses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm.statistics

Subclasses of DistanceBasedAlgorithm in de.lmu.ifi.dbs.elki.algorithm.statistics

class	DistanceStatisticsWithClasses<V extends DatabaseObject,D extends NumberDistance<D,?>> Algorithm to gather statistics over the distance distribution in the data set.
class	EvaluateRankingQuality<V extends NumberVector<V,?>,D extends NumberDistance<D,?>> Evaluate a distance function with respect to kNN queries.
class	RankingQualityHistogram<V extends DatabaseObject,D extends NumberDistance<D,?>> Evaluate a distance function with respect to kNN queries.