Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DistanceParameter

Packages that use DistanceParameter
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.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.preprocessing Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. 
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as DistanceParameter
private  DistanceParameter<DoubleDistance> ProjectedDBSCAN.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to AbstractLocallyWeightedDistanceFunction.
private  DistanceParameter<D> DBSCAN.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
private  DistanceParameter<D> OPTICS.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
 

Uses of DistanceParameter in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace
 

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as DistanceParameter
private  DistanceParameter<DoubleDistance> SUBCLU.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to AbstractDimensionsSelectingDoubleDistanceFunction.
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as DistanceParameter
private  DistanceParameter<D> AbstractDBOutlier.D_PARAM
          Parameter to specify the size of the D-neighborhood, Key: -dbod.d
private  DistanceParameter<D> LOCI.RMAX_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
 

Uses of DistanceParameter in de.lmu.ifi.dbs.elki.preprocessing
 

Fields in de.lmu.ifi.dbs.elki.preprocessing declared as DistanceParameter
 DistanceParameter<D> ProjectedDBSCANPreprocessor.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to LocallyWeightedDistanceFunction.
protected  DistanceParameter<DoubleDistance> RangeQueryBasedLocalPCAPreprocessor.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered in the PCA, must be suitable to the distance function specified.
 


Release 0.3 (2010-03-31_1612)