| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki |
ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures".
|
| de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
| de.lmu.ifi.dbs.elki.algorithm.benchmark |
Benchmarking pseudo algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.classification |
Classification algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation |
Affinity Propagation (AP) clustering.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering |
Biclustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction |
Extraction of partitional clusterings from hierarchical results.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.meta |
Meta clustering algorithms, that get their result from other clusterings or external sources.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional |
Clustering algorithms for one-dimensional data.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.trivial |
Trivial clustering algorithms: all in one, no clusters, label clusterings
These methods are mostly useful for providing a reference result in evaluation.
|
| de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
| de.lmu.ifi.dbs.elki.algorithm.itemsetmining |
Algorithms for frequent itemset mining such as APRIORI.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased |
Angle-based outlier detection algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.clustering |
Clustering based outlier detection.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.distance |
Distance-based outlier detection algorithms, such as DBOutlier and kNN.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic |
Outlier detection algorithms based on intrinsic dimensionality.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel |
Parallelized variants of LOF.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood |
Spatial outlier neighborhood classes
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood.weighted |
Weighted Neighborhood definitions.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.svm |
Support-Vector-Machines for outlier detection.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.trivial |
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
|
| de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms.
|
| de.lmu.ifi.dbs.elki.application |
Base classes for stand alone applications.
|
| de.lmu.ifi.dbs.elki.application.cache |
Utility applications for the persistence layer such as distance cache builders.
|
| de.lmu.ifi.dbs.elki.application.experiments |
Packaged experiments to make them easy to reproduce.
|
| de.lmu.ifi.dbs.elki.application.geo |
Application for exploring geo data.
|
| de.lmu.ifi.dbs.elki.application.greedyensemble |
Greedy ensembles for outlier detection.
|
| de.lmu.ifi.dbs.elki.application.jsmap |
JavaScript based map client - server architecture.
|
| de.lmu.ifi.dbs.elki.data.projection |
Data projections.
|
| de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier |
Classes to generate uncertain objects from existing certain data.
|
| de.lmu.ifi.dbs.elki.database |
ELKI database layer - loading, storing, indexing and accessing data
|
| de.lmu.ifi.dbs.elki.datasource |
Data normalization (and reconstitution) of data sets.
|
| de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
|
| de.lmu.ifi.dbs.elki.datasource.filter.cleaning |
Filters for data cleaning.
|
| de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise |
Normalizations operating on columns / variates; where each column is treated independently.
|
| de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise |
Instancewise normalization, where each instance is normalized independently.
|
| de.lmu.ifi.dbs.elki.datasource.filter.selection |
Filters for selecting and sorting data to process.
|
| de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
| de.lmu.ifi.dbs.elki.datasource.filter.typeconversions |
Filters to perform data type conversions.
|
| de.lmu.ifi.dbs.elki.datasource.parser |
Parsers for different file formats and data types.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.adapter |
Distance functions deriving distances from e.g. similarity measures
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram |
Distance functions using correlations.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
Distance functions using correlations.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.external |
Distance functions using external data sources.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.geo |
Geographic (earth) distance functions.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski |
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
| de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries |
Distance functions designed for time series.
|
| de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
| de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
| de.lmu.ifi.dbs.elki.evaluation.classification.holdout |
Holdout and cross-validation strategies for evaluating classifiers.
|
| de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
|
| de.lmu.ifi.dbs.elki.evaluation.clustering.extractor |
Classes to extract clusterings from hierarchical clustering.
|
| de.lmu.ifi.dbs.elki.evaluation.clustering.internal |
Internal evaluation measures for clusterings.
|
| de.lmu.ifi.dbs.elki.evaluation.histogram |
Functionality for the evaluation of algorithms using histograms.
|
| de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
| de.lmu.ifi.dbs.elki.evaluation.scores |
Evaluation of rankings and scorings.
|
| de.lmu.ifi.dbs.elki.evaluation.similaritymatrix |
Render a distance matrix to visualize a clustering-distance-combination.
|
| de.lmu.ifi.dbs.elki.gui.multistep |
Multi-step GUI for ELKI
|
| de.lmu.ifi.dbs.elki.gui.multistep.panels |
Panels for the multi-step GUI
|
| de.lmu.ifi.dbs.elki.index |
Index structure implementations
|
| de.lmu.ifi.dbs.elki.index.distancematrix |
Precomputed distance matrix.
|
| de.lmu.ifi.dbs.elki.index.idistance |
iDistance is a distance based indexing technique, using a reference points embedding.
|
| de.lmu.ifi.dbs.elki.index.lsh |
Locality Sensitive Hashing
|
| de.lmu.ifi.dbs.elki.index.lsh.hashfamilies |
Hash function families for LSH.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics |
Preprocessed index used by the FastOPTICS algorithm.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.knn |
Indexes providing KNN and rKNN data.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.localpca |
Index using a preprocessed local PCA.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.preference |
Indexes storing preference vectors.
|
| de.lmu.ifi.dbs.elki.index.preprocessed.snn |
Indexes providing nearest neighbor sets
|
| de.lmu.ifi.dbs.elki.index.projected |
Projected indexes for data.
|
| de.lmu.ifi.dbs.elki.index.tree.metrical.covertree |
Cover-tree variations.
|
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants |
M-Tree and variants.
|
| 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 | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
| de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.strategies.split |
Splitting strategies of nodes in an M-Tree (and variants).
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.kd |
K-d-tree and variants.
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants |
R*-Tree and variants.
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn | |
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk |
Packages for bulk-loading R*-Trees.
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.insert |
Insertion strategies for R-Trees
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.overflow |
Overflow treatment strategies for R-Trees
|
| de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.reinsert |
Reinsertion strategies for R-Trees
|
| de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
| de.lmu.ifi.dbs.elki.math.dimensionsimilarity |
Functions to compute the similarity of dimensions (or the interestingness of the combination).
|
| de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
| de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections |
Random projection families.
|
| de.lmu.ifi.dbs.elki.math.statistics.dependence |
Statistical measures of dependence, such as correlation.
|
| de.lmu.ifi.dbs.elki.math.statistics.distribution |
Standard distributions, with random generation functionalities.
|
| de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator.meta |
Meta estimators: estimators that do not actually estimate themselves, but instead use other estimators, e.g. on a trimmed data set, or as an ensemble.
|
| de.lmu.ifi.dbs.elki.persistent |
Persistent data management.
|
| de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
| de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
| de.lmu.ifi.dbs.elki.utilities.ensemble |
Utility classes for simple ensembles.
|
| de.lmu.ifi.dbs.elki.utilities.optionhandling |
Parameter handling and option descriptions.
|
| de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization |
Configuration managers.
|
| de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters |
Classes for various typed parameters.
|
| de.lmu.ifi.dbs.elki.utilities.referencepoints |
Package containing strategies to obtain reference points
Shared code for various algorithms that use reference points.
|
| de.lmu.ifi.dbs.elki.utilities.scaling |
Scaling functions: linear, logarithmic, gamma, clipping, ...
|
| de.lmu.ifi.dbs.elki.utilities.scaling.outlier |
Scaling of Outlier scores, that require a statistical analysis of the occurring values
|
| de.lmu.ifi.dbs.elki.visualization |
Visualization package of ELKI.
|
| de.lmu.ifi.dbs.elki.visualization.gui |
Package to provide a visualization GUI.
|
| de.lmu.ifi.dbs.elki.visualization.projector |
Projectors are responsible for finding appropriate projections for data relations.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.histogram |
Visualizers based on 1D projected histograms.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster |
Visualizers for clustering results based on parallel coordinates.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index |
Visualizers for index structure based on parallel coordinates.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot |
Visualizers based on scatterplots.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster |
Visualizers for clustering results based on 2D projections.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index |
Visualizers for index structures based on 2D projections.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier |
Visualizers for outlier scores based on 2D projections.
|
| de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection |
Visualizers for object selection based on 2D projections.
|
| de.lmu.ifi.dbs.elki.workflow |
Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
KDDTask.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KNNJoin.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNDistancesSampler.Parameterizer.makeOptions(Parameterization config) |
protected void |
DependencyDerivator.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDistanceBasedAlgorithm.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ValidateApproximativeKNNIndex.Parameterizer.makeOptions(Parameterization config) |
protected void |
RangeQueryBenchmarkAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNBenchmarkAlgorithm.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KNNClassifier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractProjectedClustering.Parameterizer.configK(Parameterization config)
Get the parameter k, see
AbstractProjectedClustering.Parameterizer.K_ID |
protected void |
AbstractProjectedClustering.Parameterizer.configKI(Parameterization config)
Get the parameter k_i, see
AbstractProjectedClustering.Parameterizer.K_I_ID |
protected void |
AbstractProjectedClustering.Parameterizer.configL(Parameterization config)
Get the parameter l, see
AbstractProjectedClustering.Parameterizer.L_ID |
protected void |
SNNClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveMeanShiftClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
DBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
CanopyPreClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SimilarityBasedInitializationWithMedian.Parameterizer.makeOptions(Parameterization config) |
protected void |
DistanceBasedInitializationWithMedian.Parameterizer.makeOptions(Parameterization config) |
protected void |
AffinityPropagationClusteringAlgorithm.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ChengAndChurch.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ORCLUS.Parameterizer.configAlpha(Parameterization config) |
protected void |
FourC.Settings.Parameterizer.configDelta(Parameterization config)
Configure the delta parameter.
|
protected void |
ERiC.Settings.Parameterizer.configDelta(Parameterization config)
Configure the delta parameter.
|
protected void |
FourC.Settings.Parameterizer.configEpsilon(Parameterization config)
Configure the epsilon radius parameter.
|
protected void |
COPAC.Settings.Parameterizer.configEpsilon(Parameterization config)
Configure the epsilon radius parameter.
|
protected void |
ERiC.Settings.Parameterizer.configK(Parameterization config)
Configure the kNN parameter.
|
protected void |
COPAC.Settings.Parameterizer.configK(Parameterization config)
Configure the kNN parameter.
|
protected void |
FourC.Settings.Parameterizer.configKappa(Parameterization config)
Configure the kappa parameter.
|
protected void |
FourC.Settings.Parameterizer.configLambda(Parameterization config)
Configure the delta parameter.
|
protected void |
FourC.Settings.Parameterizer.configMinPts(Parameterization config)
Configure the minPts aka "mu" parameter.
|
protected void |
ERiC.Settings.Parameterizer.configMinPts(Parameterization config)
Configure the minPts aka "mu" parameter.
|
protected void |
COPAC.Settings.Parameterizer.configMinPts(Parameterization config)
Configure the minPts aka "mu" parameter.
|
protected void |
ORCLUS.Parameterizer.configSeed(Parameterization config) |
protected void |
ERiC.Settings.Parameterizer.configTau(Parameterization config)
Configure the tau parameter.
|
protected void |
ORCLUS.Parameterizer.makeOptions(Parameterization config) |
protected void |
LMCLUS.Parameterizer.makeOptions(Parameterization config) |
protected void |
HiCO.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourC.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourC.Parameterizer.makeOptions(Parameterization config) |
void |
ERiC.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
ERiC.Parameterizer.makeOptions(Parameterization config) |
void |
COPAC.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
COPAC.Parameterizer.makeOptions(Parameterization config) |
protected void |
CASH.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
EM.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractEMModelFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractRangeQueryNeighborPredicate.Parameterizer.configDistance(Parameterization config)
Configure the distance parameter.
|
protected void |
AbstractRangeQueryNeighborPredicate.Parameterizer.configEpsilon(Parameterization config)
Configure the epsilon parameter.
|
protected void |
PreDeConNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
PreDeConCorePredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
MinPtsCorePredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
LSDBC.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedDBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourCNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourCCorePredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
EpsilonNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
ERiCNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
COPACNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractRangeQueryNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AnderbergHierarchicalClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractHDBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
AGNES.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SimplifiedHierarchyExtraction.Parameterizer.makeOptions(Parameterization config) |
protected void |
HDBSCANHierarchyExtraction.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExtractFlatClusteringFromHierarchy.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KMeansHamerly.Parameterizer.getParameterDistanceFunction(Parameterization config) |
protected void |
KMeansElkan.Parameterizer.getParameterDistanceFunction(Parameterization config) |
protected void |
AbstractKMeans.Parameterizer.getParameterDistanceFunction(Parameterization config)
Get the distance function parameter.
|
protected void |
AbstractKMeans.Parameterizer.getParameterInitialization(Parameterization config)
Get the initialization method parameter.
|
protected void |
AbstractKMeans.Parameterizer.getParameterK(Parameterization config)
Get the k parameter.
|
protected void |
AbstractKMeans.Parameterizer.getParameterMaxIter(Parameterization config)
Get the max iterations parameter.
|
protected void |
XMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
SingleAssignmentKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMedoidsPAM.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMedoidsEM.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMeansBisecting.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMeansBatchedLloyd.Parameterizer.makeOptions(Parameterization config) |
protected void |
CLARA.Parameterizer.makeOptions(Parameterization config) |
protected void |
BestOfMultipleKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractKMeans.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SampleKMeansInitialization.Parameterizer.makeOptions(Parameterization config) |
protected void |
PredefinedInitialMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
FarthestPointsInitialMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractKMeansInitialization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ExternalClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KNNKernelDensityMinimaClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
OPTICSXi.Parameterizer.makeOptions(Parameterization config) |
protected void |
FastOPTICS.Parameterizer.makeOptions(Parameterization config) |
protected void |
DeLiClu.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractOPTICS.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
PreDeCon.Settings.Parameterizer.configDelta(Parameterization config)
Configure the delta parameter.
|
void |
DiSH.Parameterizer.configDiSHPreprocessor(Parameterization config,
double epsilon,
int minpts) |
protected void |
PreDeCon.Settings.Parameterizer.configEpsilon(Parameterization config)
Configure the epsilon radius parameter.
|
protected void |
PreDeCon.Settings.Parameterizer.configKappa(Parameterization config)
Configure the kappa parameter.
|
protected void |
PreDeCon.Settings.Parameterizer.configLambda(Parameterization config)
Configure the delta parameter.
|
protected void |
PreDeCon.Settings.Parameterizer.configMinPts(Parameterization config)
Configure the minPts aka "mu" parameter.
|
protected void |
SUBCLU.Parameterizer.makeOptions(Parameterization config) |
void |
PreDeCon.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
PreDeCon.Parameterizer.makeOptions(Parameterization config) |
protected void |
PROCLUS.Parameterizer.makeOptions(Parameterization config) |
protected void |
P3C.Parameterizer.makeOptions(Parameterization config) |
protected void |
HiSC.Parameterizer.makeOptions(Parameterization config) |
protected void |
DiSH.Parameterizer.makeOptions(Parameterization config) |
protected void |
DOC.Parameterizer.makeOptions(Parameterization config) |
protected void |
CLIQUE.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ByModelClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
ByLabelClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
void |
UKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
RepresentativeUncertainClustering.Parameterizer.makeOptions(Parameterization config) |
void |
FDBSCANNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
void |
FDBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
CenterOfMassMetaClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
CKMeans.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractFrequentItemsetAlgorithm.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SimpleCOP.Parameterizer.makeOptions(Parameterization config) |
protected void |
OPTICSOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
GaussianUniformMixture.Parameterizer.makeOptions(Parameterization config) |
protected void |
GaussianModel.Parameterizer.makeOptions(Parameterization config) |
protected void |
DWOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
COP.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
LBABOD.Parameterizer.makeOptions(Parameterization config) |
protected void |
FastABOD.Parameterizer.makeOptions(Parameterization config) |
protected void |
ABOD.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SilhouetteOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMeansOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
protected void |
EMOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractDBOutlier.Parameterizer.configD(Parameterization config,
DistanceFunction<?> distanceFunction)
Grab the 'd' configuration option.
|
protected void |
ReferenceBasedOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
protected void |
ODIN.Parameterizer.makeOptions(Parameterization config) |
protected void |
LocalIsolationCoefficient.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNWeightOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
HilOut.Parameterizer.makeOptions(Parameterization config) |
protected void |
DBOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDBOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ParallelKNNWeightOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
ParallelKNNOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
IntrinsicDimensionalityOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
IDOS.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
VarianceOfVolume.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimplifiedLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimpleKernelDensityLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
LoOP.Parameterizer.makeOptions(Parameterization config) |
protected void |
LOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
LOCI.Parameterizer.makeOptions(Parameterization config) |
protected void |
LDOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
LDF.Parameterizer.makeOptions(Parameterization config) |
protected void |
KDEOS.Parameterizer.makeOptions(Parameterization config) |
protected void |
INFLO.Parameterizer.makeOptions(Parameterization config) |
protected void |
FlexibleLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
COF.Parameterizer.makeOptions(Parameterization config) |
protected void |
ALOCI.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ParallelSimplifiedLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
ParallelLOF.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SimpleOutlierEnsemble.Parameterizer.makeOptions(Parameterization config) |
protected void |
RescaleMetaOutlierAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
HiCS.Parameterizer.makeOptions(Parameterization config) |
protected void |
FeatureBagging.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalDoubleOutlierScore.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
CTLuRandomWalkEC.Parameterizer.configAlpha(Parameterization config)
Get the alpha parameter.
|
protected void |
CTLuRandomWalkEC.Parameterizer.configC(Parameterization config)
get the c parameter.
|
protected void |
CTLuRandomWalkEC.Parameterizer.configK(Parameterization config)
Get the kNN parameter.
|
protected void |
CTLuGLSBackwardSearchAlgorithm.Parameterizer.getParameterAlpha(Parameterization config)
Get the alpha parameter
|
protected void |
CTLuGLSBackwardSearchAlgorithm.Parameterizer.getParameterK(Parameterization config)
Get the k parameter
|
protected void |
TrimmedMeanApproach.Parameterizer.makeOptions(Parameterization config) |
protected void |
CTLuRandomWalkEC.Parameterizer.makeOptions(Parameterization config) |
protected void |
CTLuGLSBackwardSearchAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractNeighborhoodOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDistanceBasedSpatialOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected static <O> NeighborSetPredicate.Factory<O> |
ExtendedNeighborhood.Factory.Parameterizer.getParameterInnerNeighborhood(Parameterization config)
Inner neighborhood parameter.
|
protected static File |
ExternalNeighborhood.Factory.Parameterizer.getParameterNeighborhoodFile(Parameterization config)
Get the neighborhood parameter.
|
static int |
ExtendedNeighborhood.Factory.Parameterizer.getParameterSteps(Parameterization config)
Get the number of steps to do in the neighborhood graph.
|
protected void |
PrecomputedKNearestNeighborNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExtendedNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected static <O> NeighborSetPredicate.Factory<O> |
LinearWeightedExtendedNeighborhood.Factory.Parameterizer.getParameterInnerNeighborhood(Parameterization config)
Inner neighborhood parameter.
|
static int |
LinearWeightedExtendedNeighborhood.Factory.Parameterizer.getParameterSteps(Parameterization config)
Get the number of steps to do in the neighborhood graph.
|
protected void |
UnweightedNeighborhoodAdapter.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
LinearWeightedExtendedNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SOD.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutRankS1.Parameterizer.makeOptions(Parameterization config) |
protected void |
OUTRES.Parameterizer.makeOptions(Parameterization config) |
protected void |
AggarwalYuEvolutionary.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractAggarwalYuOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
LibSVMOneClassOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TrivialGeneratedOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
ByLabelOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RankingQualityHistogram.Parameterizer.makeOptions(Parameterization config) |
protected void |
RangeQuerySelectivity.Parameterizer.makeOptions(Parameterization config) |
protected void |
HopkinsStatisticClusteringTendency.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateRetrievalPerformance.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateRankingQuality.Parameterizer.makeOptions(Parameterization config) |
protected void |
EstimateIntrinsicDimensionality.Parameterizer.makeOptions(Parameterization config) |
protected void |
DistanceStatisticsWithClasses.Parameterizer.makeOptions(Parameterization config) |
protected void |
DistanceQuantileSampler.Parameterizer.makeOptions(Parameterization config) |
protected void |
AveragePrecisionAtK.Parameterizer.makeOptions(Parameterization config) |
protected void |
AddSingleScale.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected File |
AbstractApplication.Parameterizer.getParameterInputFile(Parameterization config)
Get the input file parameter.
|
protected File |
AbstractApplication.Parameterizer.getParameterInputFile(Parameterization config,
String description)
Get the input file parameter
|
protected File |
AbstractApplication.Parameterizer.getParameterOutputFile(Parameterization config)
Get the output file parameter.
|
protected File |
AbstractApplication.Parameterizer.getParameterOutputFile(Parameterization config,
String description)
Get the output file parameter.
|
protected void |
KDDCLIApplication.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneratorXMLSpec.Parameterizer.makeOptions(Parameterization config) |
protected void |
ConvertToBundleApplication.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassifierHoldoutEvaluationTask.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
CacheFloatDistanceInOnDiskMatrix.Parameterizer.makeOptions(Parameterization config) |
protected void |
CacheDoubleDistanceRangeQueries.Parameterizer.makeOptions(Parameterization config) |
protected void |
CacheDoubleDistanceKNNLists.Parameterizer.makeOptions(Parameterization config) |
protected void |
CacheDoubleDistanceInOnDiskMatrix.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
EvaluateIntrinsicDimensionalityEstimators.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
VisualizeGeodesicDistances.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
GreedyEnsembleExperiment.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluatePrecomputedOutlierScores.Parameterizer.makeOptions(Parameterization config) |
protected void |
ComputeKNNOutlierScores.Parameterizer.makeOptions(Parameterization config) |
protected void |
VisualizePairwiseGainMatrix.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
JSONResultHandler.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RandomProjection.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumericalFeatureSelection.Parameterizer.makeOptions(Parameterization config) |
protected void |
LngLatToECEFProjection.Parameterizer.makeOptions(Parameterization config) |
protected void |
LatLngToECEFProjection.Parameterizer.makeOptions(Parameterization config) |
protected void |
FeatureSelection.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
UniformUncertainifier.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimpleGaussianUncertainifier.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDiscreteUncertainifier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
StaticArrayDatabase.Parameterizer.makeOptions(Parameterization config) |
protected void |
HashmapDatabase.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractDatabaseConnection.Parameterizer.configFilters(Parameterization config)
Get the filters parameter
|
protected void |
AbstractDatabaseConnection.Parameterizer.configParser(Parameterization config,
Class<?> parserRestrictionClass,
Class<?> parserDefaultValueClass)
Get the parser parameter
|
protected void |
RandomDoubleVectorDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
PresortedBlindJoinDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
LabelJoinDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
InputStreamDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneratorXMLDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
FileBasedDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalIDJoinDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
DBIDRangeDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
ConcatenateFilesDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
BundleDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
FixedDBIDsFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
VectorDimensionalityFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ReplaceNaNWithRandomFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AttributeWiseVarianceNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
AttributeWiseMinMaxNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
AttributeWiseCDFNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
AttributeWiseBetaNormalization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
Log1PlusNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
LengthNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
InstanceMinMaxNormalization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ShuffleObjectsFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomSamplingStreamFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ByLabelFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ProjectionFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
PerturbationFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumberVectorRandomFeatureSelectionFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumberVectorFeatureSelectionFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
LngLatToECEFFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
LatLngToECEFFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
HistogramJitterFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
GlobalPrincipalComponentAnalysisTransform.Parameterizer.makeOptions(Parameterization config) |
protected void |
FastMultidimensionalScalingTransform.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassicMultidimensionalScalingTransform.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractSupervisedProjectionVectorFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WeightedUncertainSplitFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
UncertainifyFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
UncertainSplitFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
SplitNumberVectorFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
MultivariateTimeSeriesFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalIDFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassLabelFromPatternFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassLabelFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TermFrequencyParser.Parameterizer.getFactory(Parameterization config) |
protected void |
SparseNumberVectorLabelParser.Parameterizer.getFactory(Parameterization config) |
protected void |
NumberVectorLabelParser.Parameterizer.getFactory(Parameterization config)
Get the object factory.
|
protected void |
LibSVMFormatParser.Parameterizer.getFactory(Parameterization config) |
protected void |
NumberVectorLabelParser.Parameterizer.getLabelIndices(Parameterization config)
Get the label indices.
|
protected void |
TermFrequencyParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
StringParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumberVectorLabelParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
LibSVMFormatParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
CSVReaderFormat.Parameterizer.makeOptions(Parameterization config) |
protected void |
ArffParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractStreamingParser.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
void |
AbstractIndexBasedDistanceFunction.Parameterizer.configIndexFactory(Parameterization config,
Class<?> restriction,
Class<?> defaultClass)
Index factory parameter
|
protected void |
WeightedCanberraDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
SharedNearestNeighborJaccardDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractSimilarityAdapter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RGBHistogramQuadraticDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
HSBHistogramQuadraticDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WeightedSquaredPearsonCorrelationDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedPearsonCorrelationDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
FileBasedFloatDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
FileBasedDoubleDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
DiskCacheBasedFloatDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
DiskCacheBasedDoubleDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
AsciiDistanceParser.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
LngLatDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LatLngDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
DimensionSelectingLatLngDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WeightedSquaredEuclideanDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedMaximumDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedManhattanDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedLPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedEuclideanDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
SparseLPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LPIntegerNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SubspaceLPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
OnedimensionalDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDimensionsSelectingDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
static double |
EDRDistanceFunction.Parameterizer.getParameterDelta(Parameterization config)
Get parameter delta.
|
protected void |
LCSSDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
ERPDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
EDRDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractEditDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractIndexBasedSimilarityFunction.Parameterizer.configIndexFactory(Parameterization config,
Class<?> restrictionClass,
Class<?> defaultClass)
Get the index factory parameter.
|
protected void |
SharedNearestNeighborSimilarityFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
FractionalSharedNearestNeighborSimilarityFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SigmoidKernelFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
RationalQuadraticKernelFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
RadialBasisFunctionKernelFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
PolynomialKernelFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LaplaceKernelFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
StratifiedCrossValidation.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomizedHoldout.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomizedCrossValidation.Parameterizer.makeOptions(Parameterization config) |
protected void |
DisjointCrossValidation.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
EvaluateClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SimplifiedHierarchyExtractionEvaluator.Parameterizer.makeOptions(Parameterization config) |
protected void |
HDBSCANHierarchyExtractionEvaluator.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExtractFlatClusteringFromHierarchyEvaluator.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
EvaluateVarianceRatioCriteria.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateSquaredErrors.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateSimplifiedSilhouette.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateSilhouette.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluatePBMIndex.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateDaviesBouldin.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateConcordantPairs.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateCIndex.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ComputeOutlierHistogram.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
OutlierThresholdClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierSmROCCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierRankingEvaluation.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierROCCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierPrecisionRecallCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierPrecisionAtKCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
JudgeOutlierScores.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
PrecisionAtKEvaluation.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ComputeSimilarityMatrixImage.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
void |
MultiStepGUI.setParameters(Parameterization config)
Set the parameters.
|
| Modifier and Type | Method and Description |
|---|---|
protected abstract void |
ParameterTabPanel.configureStep(Parameterization config)
Configure this step with the given parameters.
|
protected void |
OutputTabPanel.configureStep(Parameterization config) |
protected void |
LoggingTabPanel.configureStep(Parameterization config) |
protected void |
InputTabPanel.configureStep(Parameterization config) |
protected void |
EvaluationTabPanel.configureStep(Parameterization config) |
protected void |
AlgorithmTabPanel.configureStep(Parameterization config) |
protected void |
ParameterTabPanel.reportErrors(Parameterization config)
Report errors in a single error log record.
|
void |
ParameterTabPanel.setParameters(Parameterization config)
Do the actual setParameters invocation.
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
PagedIndexFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
PrecomputedDistanceMatrix.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
InMemoryIDistanceIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
InMemoryLSHIndex.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
CosineHashFunctionFamily.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractProjectedHashFunctionFamily.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RandomProjectedNeighborsAndDensities.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
SpacefillingKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomSampleKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveProjectedKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractMaterializeKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KNNQueryFilteredPCAIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractFilteredPCAIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
HiSCPreferenceVectorIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
DiSHPreferenceVectorIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SharedNearestNeighborPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ProjectedIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
PINN.Parameterizer.makeOptions(Parameterization config) |
protected void |
LngLatAsECEFIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
LatLngAsECEFIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractCoverTree.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractMTreeFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractMkTreeUnifiedFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
MkAppTreeFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
MkCopTreeFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RandomSplit.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SmallMemoryKDTree.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
MinimalisticMemoryKDTree.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractRStarTreeFactory.Parameterizer.configBulkLoad(Parameterization config)
Configure the bulk load parameters.
|
protected void |
AbstractRStarTreeFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RdKNNTreeFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SpatialSortBulkSplit.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
CombinedInsertionStrategy.Parameterizer.makeOptions(Parameterization config) |
protected void |
ApproximativeLeastOverlapInsertionStrategy.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
LimitedReinsertOverflowTreatment.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractPartialReinsert.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
VAFile.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
PartialVAFile.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
HiCSDimensionSimilarity.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WeightedCovarianceMatrixBuilder.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeakEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
SignificantEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
RelativeEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
RANSACCovarianceMatrixBuilder.Parameterizer.makeOptions(Parameterization config) |
protected void |
ProgressiveEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
PercentageEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
PCARunner.Parameterizer.makeOptions(Parameterization config) |
protected void |
PCAFilteredRunner.Parameterizer.makeOptions(Parameterization config) |
protected void |
LimitEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
FirstNEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
DropEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
CompositeEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AchlioptasRandomProjectionFamily.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractRandomProjectionFamily.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
HiCSDependenceMeasure.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WeibullDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
WaldDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
UniformDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
StudentsTDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
SkewGeneralizedNormalDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
RayleighDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
PoissonDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
NormalDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogisticDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogNormalDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogLogisticDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogGammaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogGammaAlternateDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LaplaceDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
KappaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
HaltonUniformDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GumbelDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedParetoDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedLogisticDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedLogisticAlternateDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedExtremeValueDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GammaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExponentiallyModifiedGaussianDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExponentialDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ConstantDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ChiSquaredDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ChiDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
CauchyDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
BetaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDistribution.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WinsorisingEstimator.Parameterizer.makeOptions(Parameterization config) |
protected void |
TrimmedEstimator.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
PersistentPageFileFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
OnDiskArrayPageFileFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
LRUCachePageFileFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractPageFileFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ResultWriter.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMLOutputHandler.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClusteringVectorDumper.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
static <C> C |
ClassGenericsUtil.parameterizeOrAbort(Class<?> c,
Parameterization config)
Force parameterization method.
|
static <C> C |
ClassGenericsUtil.tryInstantiate(Class<C> r,
Class<?> c,
Parameterization config)
Instantiate a parameterizable class.
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
EnsembleVotingMedian.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
void |
Parameterizer.configure(Parameterization config)
Configure the class.
|
void |
AbstractParameterizer.configure(Parameterization config) |
Object |
AbstractParameterizer.make(Parameterization config)
Method to configure a class, then instantiate when the configuration step
was successful.
|
protected void |
AbstractParameterizer.makeOptions(Parameterization config)
Add all options.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractParameterization
Abstract class with shared code for parameterization handling.
|
class |
ChainedParameterization
Class that allows chaining multiple parameterizations.
|
class |
EmptyParameterization
Parameterization handler that only allows the use of default values.
|
class |
ListParameterization
Parameterization handler using a List and OptionIDs, for programmatic use.
|
class |
MergedParameterization
This configuration can be "rewound" to allow the same values to be consumed
multiple times, by different classes.
|
class |
SerializedParameterization
Manage a parameterization serialized as String array, e.g. from command line.
|
class |
TrackParameters
Utility wrapper to track parameters for a configuration session.
|
class |
UnParameterization
Parameterization handler that doesn't set any parameters.
|
| Modifier and Type | Field and Description |
|---|---|
private Parameterization |
ChainedParameterization.errorTarget
Error target
|
(package private) Parameterization |
TrackParameters.inner
Inner parameterization
|
private Parameterization |
MergedParameterization.inner
The parameterization we get the new values from.
|
| Modifier and Type | Field and Description |
|---|---|
private List<Parameterization> |
ChainedParameterization.chain
Keep the list of parameterizations.
|
| Modifier and Type | Method and Description |
|---|---|
Parameterization |
UnParameterization.descend(Object option) |
Parameterization |
TrackParameters.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
SerializedParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
Parameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
MergedParameterization.descend(Object option) |
Parameterization |
ListParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
EmptyParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
ChainedParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
| Modifier and Type | Method and Description |
|---|---|
void |
ChainedParameterization.appendParameterization(Parameterization p)
Append a new Parameterization to the chain.
|
void |
ChainedParameterization.errorsTo(Parameterization config)
Set the error target, since there is no unique way where
errors can be reported.
|
void |
AbstractParameterization.reportInternalParameterizationErrors(Parameterization config)
Report the internal parameterization errors to another parameterization
|
| Constructor and Description |
|---|
ChainedParameterization(Parameterization... ps)
Constructor that takes a number of Parameterizations to chain.
|
MergedParameterization(Parameterization child)
Constructor.
|
MergedParameterization(Parameterization inner,
ListParameterization current,
List<Pair<OptionID,Object>> used)
Constructor for descending
|
TrackParameters(Parameterization inner)
Constructor.
|
TrackParameters(Parameterization inner,
Object owner)
Constructor.
|
TrackParameters(Parameterization inner,
Object owner,
List<TrackedParameter> options,
Map<Object,Object> parents,
Map<Object,List<Object>> children)
Internal constructor, for nested tracking.
|
| Modifier and Type | Method and Description |
|---|---|
C |
ObjectParameter.instantiateClass(Parameterization config)
Returns a new instance for the value (i.e., the class name) of this class
parameter.
|
C |
ClassParameter.instantiateClass(Parameterization config)
Returns a new instance for the value (i.e., the class name) of this class
parameter.
|
List<C> |
ObjectListParameter.instantiateClasses(Parameterization config) |
List<C> |
ClassListParameter.instantiateClasses(Parameterization config)
Returns a list of new instances for the value (i.e., the class name) of
this class list parameter.
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
StarBasedReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomSampleReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomGeneratedReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
GridBasedReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
AxisBasedReferencePoints.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
GammaScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClipScaling.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TopKOutlierScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
StandardDeviationScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
SqrtStandardDeviationScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierSqrtScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierLinearScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierGammaScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
COPOutlierScaling.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
VisualizerParameterizer.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExportVisualizations.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ResultVisualizer.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ScatterPlotFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
HistogramFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ColoredHistogramVisualizer.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ClusterOutlineVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RTreeParallelVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TooltipScoreVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
VoronoiVisualization.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClusterHullVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TreeSphereVisualization.Parameterizer.makeOptions(Parameterization config) |
protected void |
TreeMBRVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
BubbleVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SelectionCubeVisualization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
OutputStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
LoggingStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
InputStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluationStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
AlgorithmStep.Parameterizer.makeOptions(Parameterization config) |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.