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

Packages that use ClassParameter

de.lmu.ifi.dbs.elki	The base-package of the ELKI framework.
de.lmu.ifi.dbs.elki.algorithm	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.database	Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.database.connection	Provides database connection classes.
de.lmu.ifi.dbs.elki.preprocessing	Package collects preprocessors used for data preparation in a first step of various algorithms or distance measures.
de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints	Constraints allow to restrict possible values for parameters.
de.lmu.ifi.dbs.elki.varianceanalysis	Classes for analysis of variance by different methods.

Uses of ClassParameter in de.lmu.ifi.dbs.elki

Fields in de.lmu.ifi.dbs.elki declared as ClassParameter

private ClassParameter<Algorithm>	KDDTask.ALGORITHM_PARAM Parameter to specify the algorithm to be applied, must extend Algorithm.
private ClassParameter<DatabaseConnection>	KDDTask.DATABASE_CONNECTION_PARAM Parameter to specify the database connection to be used, must extend DatabaseConnection.
private ClassParameter<Parameterizable>	KDDTask.DESCRIPTION_PARAM Optional Parameter to specify a class to obtain a description for, must extend Parameterizable.
private ClassParameter<Normalization>	KDDTask.NORMALIZATION_PARAM Optional Parameter to specify a normalization in order to use a database with normalized values.

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

Fields in de.lmu.ifi.dbs.elki.algorithm declared as ClassParameter

protected ClassParameter<DistanceFunction>

DistanceBasedAlgorithm.DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend DistanceFunction.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as ClassParameter

protected ClassParameter<AbstractLocallyWeightedDistanceFunction>

ProjectedDBSCAN.DISTANCE_FUNCTION_PARAM Parameter to specify the distance function to determine the distance between database objects, must extend AbstractLocallyWeightedDistanceFunction.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as ClassParameter

protected ClassParameter	COPAA.PARTITION_ALGORITHM_PARAM Parameter to specify the algorithm to apply to each partition, must extend Algorithm.
private ClassParameter<Database>	COPAA.PARTITION_DB_PARAM Parameter to specify the database class for each partition, must extend Database.
private ClassParameter<HiCOPreprocessor>	COPAA.PREPROCESSOR_PARAM Parameter to specify the preprocessor to derive partition criterion, must extend HiCOPreprocessor.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.database

Fields in de.lmu.ifi.dbs.elki.database declared as ClassParameter

private ClassParameter<SpatialIndex>	SpatialIndexDatabase.INDEX_PARAM Parameter to specify the spatial index to use.
private ClassParameter<MetricalIndex>	MetricalIndexDatabase.INDEX_PARAM Parameter to specify the metrical index to use.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.database.connection

Fields in de.lmu.ifi.dbs.elki.database.connection declared as ClassParameter

private ClassParameter<Database>

AbstractDatabaseConnection.DATABASE_PARAM Parameter to specify the database to be provided by the parse method.

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

Fields in de.lmu.ifi.dbs.elki.preprocessing declared as ClassParameter

static ClassParameter<DistanceFunction>

SharedNearestNeighborsPreprocessor.DISTANCE_FUNCTION_PARAM Parameter to indicate the distance function to be used to ascertain the nearest neighbors.

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

Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints declared as ClassParameter

private ClassParameter<D>

GlobalDistanceFunctionPatternConstraint.restrictionClass Class parameter whose restriction class is used to check the validity of the pattern parameter.

Constructors in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints with parameters of type ClassParameter

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.

Uses of ClassParameter in de.lmu.ifi.dbs.elki.varianceanalysis

Fields in de.lmu.ifi.dbs.elki.varianceanalysis declared as ClassParameter

private ClassParameter<EigenPairFilter>

AbstractPCA.EIGENPAIR_FILTER_PARAM Parameter to specify the filter for determination of the strong and weak eigenvectors, must be a subclass of EigenPairFilter.