Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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

Packages that use IntParameter
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 Base classes for stand alone applications. 
de.lmu.ifi.dbs.elki.database.connection Database connections are classes implementing data sources. 
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace Distance functions based on subspaces. 
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel Kernel functions. 
de.lmu.ifi.dbs.elki.index.tree Tree-based index structures 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries. 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp MkAppTree 
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop MkCoPTree 
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn RdKNNTree 
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.parser.meta MetaParsers 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. 
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm declared as IntParameter
 IntParameter KNNJoin.K_PARAM
          Parameter that specifies the k-nearest neighbors to be assigned, must be an integer greater than 0.
private  IntParameter KNNDistanceOrder.K_PARAM
          Parameter to specify the distance of the k-distant object to be assessed, must be an integer greater than 0.
private  IntParameter APRIORI.MINSUPP_PARAM
          Parameter to specify the threshold for minimum support as minimally required number of transactions, must be an integer equal to or greater than 0.
private  IntParameter DependencyDerivator.OUTPUT_ACCURACY_PARAM
          Parameter to specify the threshold for output accuracy fraction digits, must be an integer equal to or greater than 0.
private  IntParameter DependencyDerivator.SAMPLE_SIZE_PARAM
          Optional parameter to specify the treshold for the size of the random sample to use, must be an integer greater than 0.
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as IntParameter
private  IntParameter SNNClustering.EPSILON_PARAM
          Parameter to specify the minimum SNN density, must be an integer greater than 0.
private  IntParameter EM.K_PARAM
          Parameter to specify the number of clusters to find, must be an integer greater than 0.
private  IntParameter KMeans.K_PARAM
          Parameter to specify the number of clusters to find, must be an integer greater than 0.
private  IntParameter ProjectedDBSCAN.LAMBDA_PARAM
          Parameter to specify the intrinsic dimensionality of the clusters to find, must be an integer greater than 0.
private  IntParameter ProjectedDBSCAN.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
private  IntParameter SNNClustering.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points in the epsilon-SNN-neighborhood of a point, must be an integer greater than 0.
private  IntParameter DeLiClu.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points within a cluster, must be an integer greater than 0.
private  IntParameter DBSCAN.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
private  IntParameter OPTICS.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as IntParameter
private  IntParameter CASH.MAXLEVEL_PARAM
          Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.
private  IntParameter CASH.MINDIM_PARAM
          Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.
private  IntParameter CASH.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points in a cluster, must be an integer greater than 0.
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as IntParameter
private  IntParameter ProjectedClustering.K_I_PARAM
          Parameter to specify the multiplier for the initial number of seeds, must be an integer greater than 0.
private  IntParameter ProjectedClustering.K_PARAM
          Parameter to specify the number of clusters to find, must be an integer greater than 0.
private  IntParameter ProjectedClustering.L_PARAM
          Parameter to specify the dimensionality of the clusters to find, must be an integer greater than 0.
private  IntParameter PROCLUS.M_I_PARAM
          Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.
private  IntParameter DiSH.MU_PARAM
          Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.
private  IntParameter CLIQUE.XSI_PARAM
          Parameter to specify the number of intervals (units) in each dimension, must be an integer greater than 0.
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as IntParameter
private  IntParameter ABOD.FAST_SAMPLE_PARAM
          Parameter for sample size to be used in fast mode.
private  IntParameter ABOD.K_PARAM
          Parameter for k, the number of neighbors used in kNN queries.
private  IntParameter LOF.K_PARAM
          Parameter to specify the number of nearest neighbors of an object to be considered for computing its LOF_SCORE, must be an integer greater than 1.
private  IntParameter SOD.KNN_PARAM
          Parameter to specify the number of shared nearest neighbors to be considered for learning the subspace properties., must be an integer greater than 0.
private  IntParameter LOCI.NMIN_PARAM
          Parameter to specify the minimum neighborhood size Key: -loci.nmin Default: 20
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.statistics declared as IntParameter
private  IntParameter EvaluateRankingQuality.HISTOGRAM_BINS_OPTION
          Option to configure the number of bins to use.
private  IntParameter DistanceStatisticsWithClasses.HISTOGRAM_BINS_OPTION
          Option to configure the number of bins to use.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.application
 

Fields in de.lmu.ifi.dbs.elki.application declared as IntParameter
private  IntParameter GeneratorXMLSpec.RANDOMSEED_PARAM
          Parameter to give the configuration file
 

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

Fields in de.lmu.ifi.dbs.elki.database.connection declared as IntParameter
private  IntParameter AbstractDatabaseConnection.CLASS_LABEL_INDEX_PARAM
          Optional parameter that specifies the index of the label to be used as class label, must be an integer equal to or greater than 0.
private  IntParameter AbstractDatabaseConnection.EXTERNAL_ID_INDEX_PARAM
          Optional parameter that specifies the index of the label to be used as an external id, must be an integer equal to or greater than 0.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
 

Fields in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace declared as IntParameter
private  IntParameter DimensionSelectingDistanceFunction.DIM_PARAM
          Parameter for dimensionality.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
 

Fields in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel declared as IntParameter
private  IntParameter FooKernelFunction.MAX_DEGREE_PARAM
          Parameter for the maximum degree
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.index.tree
 

Fields in de.lmu.ifi.dbs.elki.index.tree declared as IntParameter
private  IntParameter TreeIndex.CACHE_SIZE_PARAM
          Parameter to specify the size of the cache in bytes, must be an integer equal to or greater than 0.
private  IntParameter TreeIndex.PAGE_SIZE_PARAM
          Parameter to specify the size of a page in bytes, must be an integer greater than 0.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
 

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees declared as IntParameter
 IntParameter AbstractMkTree.K_MAX_PARAM
          Parameter specifying the maximal number k of reverse k nearest neighbors to be supported, must be an integer greater than 0.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
 

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp declared as IntParameter
private  IntParameter MkAppTree.K_PARAM
          Parameter for k
private  IntParameter MkAppTree.P_PARAM
          Parameter for p
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
 

Fields in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop declared as IntParameter
private  IntParameter MkCoPTree.K_PARAM
          Parameter for k
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn
 

Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn declared as IntParameter
private  IntParameter RdKNNTree.K_PARAM
          Parameter for k
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.math.linearalgebra.pca
 

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as IntParameter
private  IntParameter FirstNEigenPairFilter.N_PARAM
          Parameter n.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.parser
 

Fields in de.lmu.ifi.dbs.elki.parser declared as IntParameter
static IntParameter RealVectorLabelParser.CLASS_LABEL_INDEX_PARAM
          The parameter for an index of a numerical class label.
 

Uses of IntParameter in de.lmu.ifi.dbs.elki.parser.meta
 

Fields in de.lmu.ifi.dbs.elki.parser.meta declared as IntParameter
private  IntParameter RandomProjectionParser.NUMBER_SELECTED_ATTRIBUTES_PARAM
          Parameter for the desired cardinality of the subset of attributes selected for projection.
 

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

Fields in de.lmu.ifi.dbs.elki.preprocessing declared as IntParameter
private  IntParameter MaterializeKNNPreprocessor.K_PARAM
          Parameter to specify the number of nearest neighbors of an object to be materialized. must be an integer greater than 1.
private  IntParameter KnnQueryBasedHiCOPreprocessor.K_PARAM
          Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0.
private  IntParameter HiSCPreprocessor.K_PARAM
          k Parameter
protected  IntParameter DiSHPreprocessor.MINPTS_PARAM
          Parameter Minpts.
private  IntParameter ProjectedDBSCANPreprocessor.MINPTS_PARAM
          Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
private static IntParameter SharedNearestNeighborsPreprocessor.NUMBER_OF_NEIGHBORS_PARAM
          Parameter to indicate the number of neighbors to be taken into account for the shared-nearest-neighbor similarity.
 

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

Fields in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints declared as IntParameter
private  IntParameter GlobalListSizeConstraint.length
          Integer parameter specifying the constraint list size.
private  IntParameter GlobalVectorListElementSizeConstraint.size
          Integer parameter providing the size constraint.
 

Constructors in de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints with parameters of type IntParameter
GlobalListSizeConstraint(ListParameter<?> v, IntParameter i)
          Creates a List-Size global parameter constraint.
GlobalVectorListElementSizeConstraint(VectorListParameter vector, IntParameter sizeConstraint)
          Constructs a global vector size constraint.
 


Release 0.2 (2009-07-06_1820)