Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.utilities.optionhandling.PatternParameter

Packages that use PatternParameter
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.evaluation Functionality for the evaluation of algorithms. 
de.lmu.ifi.dbs.elki.index.tree.spatial Tree-based index structures for spatial indexing. 
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. 
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as PatternParameter
private  PatternParameter ProjectedDBSCAN.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to LocallyWeightedDistanceFunction.
private  PatternParameter DBSCAN.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to the distance function specified.
private  PatternParameter 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 PatternParameter in de.lmu.ifi.dbs.elki.algorithm.outlier
 

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as PatternParameter
private  PatternParameter 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 PatternParameter in de.lmu.ifi.dbs.elki.evaluation
 

Fields in de.lmu.ifi.dbs.elki.evaluation declared as PatternParameter
private  PatternParameter ComputeROCCurve.POSITIVE_CLASS_NAME_PARAM
          The distance function to determine the reachability distance between database objects.
 

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

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial declared as PatternParameter
private  PatternParameter SpatialIndex.BULK_LOAD_STRATEGY_PARAM
          Parameter for bulk strategy
 

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

Fields in de.lmu.ifi.dbs.elki.preprocessing declared as PatternParameter
static PatternParameter ProjectedDBSCANPreprocessor.EPSILON_PARAM
          Parameter to specify the maximum radius of the neighborhood to be considered, must be suitable to LocallyWeightedDistanceFunction.
protected  PatternParameter RangeQueryBasedHiCOPreprocessor.EPSILON_PARAM
          Parameter to specify the epsilon used in the preprocessor Key: -preprocessor.epsilon
private  PatternParameter DiSHPreprocessor.STRATEGY_PARAM
          Parameter Strategy.
 

Uses of PatternParameter in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints
 

Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints declared as PatternParameter
private  PatternParameter GlobalDistanceFunctionPatternConstraint.pattern
          Pattern parameter to be checked for validity.
 

Constructors in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints with parameters of type PatternParameter
GlobalDistanceFunctionPatternConstraint(PatternParameter pattern, ClassParameter<D> restrClass)
          Constructs a global parameter constraint for testing if a given pattern parameter is a valid argument for a given distance function of a class parameter.
 


Release 0.2 (2009-07-06_1820)