| 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
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.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.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
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.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.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
See the
de.lmu.ifi.dbs.elki.utilities.optionhandling package for documentation! |
| 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
|
| tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
| tutorial.distancefunction |
Classes from the tutorial on implementing distance functions.
|
| tutorial.outlier |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KDDTask.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractDistanceBasedAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNJoin.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 |
KNNDistancesSampler.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
RangeQueryBenchmarkAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNBenchmarkAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
ValidateApproximativeKNNIndex.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 |
DBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
CanopyPreClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveMeanShiftClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AffinityPropagationClusteringAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
DistanceBasedInitializationWithMedian.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimilarityBasedInitializationWithMedian.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 |
ERiC.Settings.Parameterizer.configDelta(Parameterization config)
Configure the delta parameter.
|
protected void |
FourC.Settings.Parameterizer.configDelta(Parameterization config)
Configure the delta parameter.
|
protected void |
COPAC.Settings.Parameterizer.configEpsilon(Parameterization config)
Configure the epsilon radius parameter.
|
protected void |
FourC.Settings.Parameterizer.configEpsilon(Parameterization config)
Configure the epsilon radius parameter.
|
protected void |
COPAC.Settings.Parameterizer.configK(Parameterization config)
Configure the kNN parameter.
|
protected void |
ERiC.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 |
COPAC.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 |
FourC.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 |
CASH.Parameterizer.makeOptions(Parameterization config) |
void |
COPAC.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
COPAC.Parameterizer.makeOptions(Parameterization config) |
protected void |
ORCLUS.Parameterizer.makeOptions(Parameterization config) |
void |
ERiC.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
ERiC.Parameterizer.makeOptions(Parameterization config) |
protected void |
HiCO.Parameterizer.makeOptions(Parameterization config) |
protected void |
LMCLUS.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourC.Settings.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourC.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractEMModelFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
EM.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 |
FourCCorePredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedDBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
ERiCNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
LSDBC.Parameterizer.makeOptions(Parameterization config) |
protected void |
FourCNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
PreDeConCorePredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
EpsilonNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractRangeQueryNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
PreDeConNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
MinPtsCorePredicate.Parameterizer.makeOptions(Parameterization config) |
protected void |
COPACNeighborPredicate.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractHDBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
AnderbergHierarchicalClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
AGNES.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ExtractFlatClusteringFromHierarchy.Parameterizer.makeOptions(Parameterization config) |
protected void |
HDBSCANHierarchyExtraction.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimplifiedHierarchyExtraction.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 |
KMeansBatchedLloyd.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMedoidsPAM.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMeansBisecting.Parameterizer.makeOptions(Parameterization config) |
protected void |
SingleAssignmentKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMedoidsEM.Parameterizer.makeOptions(Parameterization config) |
protected void |
XMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
BestOfMultipleKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
CLARA.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractKMeansInitialization.Parameterizer.makeOptions(Parameterization config) |
protected void |
PredefinedInitialMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
SampleKMeansInitialization.Parameterizer.makeOptions(Parameterization config) |
protected void |
FarthestPointsInitialMeans.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 |
DeLiClu.Parameterizer.makeOptions(Parameterization config) |
protected void |
OPTICSXi.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractOPTICS.Parameterizer.makeOptions(Parameterization config) |
protected void |
FastOPTICS.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 |
DOC.Parameterizer.makeOptions(Parameterization config) |
protected void |
DiSH.Parameterizer.makeOptions(Parameterization config) |
protected void |
SUBCLU.Parameterizer.makeOptions(Parameterization config) |
protected void |
HiSC.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 |
CLIQUE.Parameterizer.makeOptions(Parameterization config) |
protected void |
P3C.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ByLabelClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
ByModelClustering.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
void |
FDBSCAN.Parameterizer.makeOptions(Parameterization config) |
protected void |
CenterOfMassMetaClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
RepresentativeUncertainClustering.Parameterizer.makeOptions(Parameterization config) |
void |
UKMeans.Parameterizer.makeOptions(Parameterization config) |
protected void |
CKMeans.Parameterizer.makeOptions(Parameterization config) |
void |
FDBSCANNeighborPredicate.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 |
COP.Parameterizer.makeOptions(Parameterization config) |
protected void |
DWOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
OPTICSOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
GaussianUniformMixture.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimpleCOP.Parameterizer.makeOptions(Parameterization config) |
protected void |
GaussianModel.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
FastABOD.Parameterizer.makeOptions(Parameterization config) |
protected void |
LBABOD.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 |
EMOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
KMeansOutlierDetection.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 |
ODIN.Parameterizer.makeOptions(Parameterization config) |
protected void |
ReferenceBasedOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
DBOutlierDetection.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDBOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
HilOut.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNWeightOutlier.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 |
FlexibleLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
LOCI.Parameterizer.makeOptions(Parameterization config) |
protected void |
LDF.Parameterizer.makeOptions(Parameterization config) |
protected void |
KDEOS.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimplifiedLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
LoOP.Parameterizer.makeOptions(Parameterization config) |
protected void |
INFLO.Parameterizer.makeOptions(Parameterization config) |
protected void |
COF.Parameterizer.makeOptions(Parameterization config) |
protected void |
ALOCI.Parameterizer.makeOptions(Parameterization config) |
protected void |
LOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
LDOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimpleKernelDensityLOF.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ParallelLOF.Parameterizer.makeOptions(Parameterization config) |
protected void |
ParallelSimplifiedLOF.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
HiCS.Parameterizer.makeOptions(Parameterization config) |
protected void |
SimpleOutlierEnsemble.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalDoubleOutlierScore.Parameterizer.makeOptions(Parameterization config) |
protected void |
RescaleMetaOutlierAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
FeatureBagging.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 |
AbstractNeighborhoodOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
CTLuGLSBackwardSearchAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
CTLuRandomWalkEC.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 |
ExternalNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExtendedNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
PrecomputedKNearestNeighborNeighborhood.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 |
LinearWeightedExtendedNeighborhood.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
UnweightedNeighborhoodAdapter.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AggarwalYuEvolutionary.Parameterizer.makeOptions(Parameterization config) |
protected void |
SOD.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractAggarwalYuOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
OUTRES.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutRankS1.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 |
ByLabelOutlier.Parameterizer.makeOptions(Parameterization config) |
protected void |
TrivialGeneratedOutlier.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
DistanceStatisticsWithClasses.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateRankingQuality.Parameterizer.makeOptions(Parameterization config) |
protected void |
AddSingleScale.Parameterizer.makeOptions(Parameterization config) |
protected void |
AveragePrecisionAtK.Parameterizer.makeOptions(Parameterization config) |
protected void |
EstimateIntrinsicDimensionality.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateRetrievalPerformance.Parameterizer.makeOptions(Parameterization config) |
protected void |
HopkinsStatisticClusteringTendency.Parameterizer.makeOptions(Parameterization config) |
protected void |
RankingQualityHistogram.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 |
ClassifierHoldoutEvaluationTask.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneratorXMLSpec.Parameterizer.makeOptions(Parameterization config) |
protected void |
ConvertToBundleApplication.Parameterizer.makeOptions(Parameterization config) |
protected void |
KDDCLIApplication.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
CacheFloatDistanceInOnDiskMatrix.Parameterizer.makeOptions(Parameterization config) |
protected void |
CacheDoubleDistanceKNNLists.Parameterizer.makeOptions(Parameterization config) |
protected void |
CacheDoubleDistanceRangeQueries.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 |
VisualizePairwiseGainMatrix.Parameterizer.makeOptions(Parameterization config) |
protected void |
GreedyEnsembleExperiment.Parameterizer.makeOptions(Parameterization config) |
protected void |
ComputeKNNOutlierScores.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluatePrecomputedOutlierScores.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 |
NumericalFeatureSelection.Parameterizer.makeOptions(Parameterization config) |
protected void |
FeatureSelection.Parameterizer.makeOptions(Parameterization config) |
protected void |
LatLngToECEFProjection.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomProjection.Parameterizer.makeOptions(Parameterization config) |
protected void |
LngLatToECEFProjection.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SimpleGaussianUncertainifier.Parameterizer.makeOptions(Parameterization config) |
protected void |
UniformUncertainifier.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 |
GeneratorXMLDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
BundleDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalIDJoinDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
DBIDRangeDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomDoubleVectorDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
FileBasedDatabaseConnection.Parameterizer.makeOptions(Parameterization config) |
protected void |
ConcatenateFilesDatabaseConnection.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) |
| 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 |
AttributeWiseCDFNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
AttributeWiseBetaNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
AttributeWiseMinMaxNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
AttributeWiseVarianceNormalization.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
LengthNormalization.Parameterizer.makeOptions(Parameterization config) |
protected void |
Log1PlusNormalization.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 |
ByLabelFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomSamplingStreamFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
LngLatToECEFFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
HistogramJitterFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
LatLngToECEFFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ProjectionFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumberVectorFeatureSelectionFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumberVectorRandomFeatureSelectionFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
GlobalPrincipalComponentAnalysisTransform.Parameterizer.makeOptions(Parameterization config) |
protected void |
PerturbationFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
FastMultidimensionalScalingTransform.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractSupervisedProjectionVectorFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassicMultidimensionalScalingTransform.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
UncertainifyFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
SplitNumberVectorFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExternalIDFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
MultivariateTimeSeriesFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
UncertainSplitFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassLabelFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
ClassLabelFromPatternFilter.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TermFrequencyParser.Parameterizer.getFactory(Parameterization config) |
protected void |
NumberVectorLabelParser.Parameterizer.getFactory(Parameterization config)
Get the object factory.
|
protected void |
SparseNumberVectorLabelParser.Parameterizer.getFactory(Parameterization config) |
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 |
CSVReaderFormat.Parameterizer.makeOptions(Parameterization config) |
protected void |
ArffParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
NumberVectorLabelParser.Parameterizer.makeOptions(Parameterization config) |
protected void |
LibSVMFormatParser.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 |
SharedNearestNeighborJaccardDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedCanberraDistanceFunction.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 |
HSBHistogramQuadraticDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
RGBHistogramQuadraticDistanceFunction.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 |
DiskCacheBasedDoubleDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
DiskCacheBasedFloatDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
FileBasedFloatDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
FileBasedDoubleDistanceFunction.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 |
WeightedManhattanDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedMaximumDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedLPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedEuclideanDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedSquaredEuclideanDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LPIntegerNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
SparseLPNormDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
OnedimensionalDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
SubspaceLPNormDistanceFunction.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 |
EDRDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractEditDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LCSSDistanceFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
ERPDistanceFunction.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 |
FractionalSharedNearestNeighborSimilarityFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
SharedNearestNeighborSimilarityFunction.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 |
PolynomialKernelFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
LaplaceKernelFunction.Parameterizer.makeOptions(Parameterization config) |
protected void |
RadialBasisFunctionKernelFunction.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
DisjointCrossValidation.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomizedHoldout.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomizedCrossValidation.Parameterizer.makeOptions(Parameterization config) |
protected void |
StratifiedCrossValidation.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 |
EvaluateSimplifiedSilhouette.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateVarianceRatioCriteria.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateConcordantPairs.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateDaviesBouldin.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateSquaredErrors.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluatePBMIndex.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateCIndex.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluateSilhouette.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 |
OutlierROCCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierRankingEvaluation.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierThresholdClustering.Parameterizer.makeOptions(Parameterization config) |
protected void |
JudgeOutlierScores.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierSmROCCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierPrecisionRecallCurve.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierPrecisionAtKCurve.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 |
InputTabPanel.configureStep(Parameterization config) |
protected void |
LoggingTabPanel.configureStep(Parameterization config) |
protected void |
EvaluationTabPanel.configureStep(Parameterization config) |
protected void |
AlgorithmTabPanel.configureStep(Parameterization config) |
protected void |
OutputTabPanel.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 |
RandomProjectedNeighborssAndDensities.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SpacefillingKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractMaterializeKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomSampleKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
SpacefillingMaterializeKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
CachedDoubleDistanceKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
PartitionApproximationMaterializeKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveProjectedKNNPreprocessor.Factory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AbstractFilteredPCAIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
KNNQueryFilteredPCAIndex.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 |
LatLngAsECEFIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
ProjectedIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
LngLatAsECEFIndex.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
PINN.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 |
MinimalisticMemoryKDTree.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
SmallMemoryKDTree.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 |
PartialVAFile.Factory.Parameterizer.makeOptions(Parameterization config) |
protected void |
VAFile.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 |
CompositeEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeakEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
LimitEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
PercentageEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
FirstNEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
SignificantEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
PCARunner.Parameterizer.makeOptions(Parameterization config) |
protected void |
DropEigenPairFilter.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeightedCovarianceMatrixBuilder.Parameterizer.makeOptions(Parameterization config) |
protected void |
PCAFilteredRunner.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) |
| 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 |
LogisticDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogGammaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
WeibullDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
CauchyDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ChiDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExponentialDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
RayleighDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogLogisticDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogGammaAlternateDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
PoissonDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
UniformDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedExtremeValueDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedLogisticAlternateDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ExponentiallyModifiedGaussianDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
StudentsTDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
NormalDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
BetaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedLogisticDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ChiSquaredDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
ConstantDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
HaltonUniformDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LogNormalDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
SkewGeneralizedNormalDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GammaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GumbelDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
LaplaceDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
KappaDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
WaldDistribution.Parameterizer.makeOptions(Parameterization config) |
protected void |
GeneralizedParetoDistribution.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
TrimmedEstimator.Parameterizer.makeOptions(Parameterization config) |
protected void |
WinsorisingEstimator.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
PersistentPageFileFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
LRUCachePageFileFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
AbstractPageFileFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
OnDiskArrayPageFileFactory.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
KMLOutputHandler.Parameterizer.makeOptions(Parameterization config) |
protected void |
ResultWriter.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 |
AbstractParameterizer.configure(Parameterization config) |
void |
Parameterizer.configure(Parameterization config)
Configure the class.
|
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
|
private Parameterization |
MergedParameterization.inner
The parameterization we get the new values from.
|
(package private) Parameterization |
TrackParameters.inner
Inner parameterization
|
| Modifier and Type | Field and Description |
|---|---|
private List<Parameterization> |
ChainedParameterization.chain
Keep the list of parameterizations.
|
| Modifier and Type | Method and Description |
|---|---|
Parameterization |
EmptyParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
UnParameterization.descend(Object option) |
Parameterization |
Parameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
ListParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
ChainedParameterization.descend(Object option)
Descend parameterization tree into sub-option.
|
Parameterization |
MergedParameterization.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.
|
| 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 |
ClassParameter.instantiateClass(Parameterization config)
Returns a new instance for the value (i.e., the class name) of this class
parameter.
|
C |
ObjectParameter.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 |
RandomSampleReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
RandomGeneratedReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
GridBasedReferencePoints.Parameterizer.makeOptions(Parameterization config) |
protected void |
StarBasedReferencePoints.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 |
SqrtStandardDeviationScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierGammaScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierSqrtScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
StandardDeviationScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
TopKOutlierScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
COPOutlierScaling.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutlierLinearScaling.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 |
HistogramFactory.Parameterizer.makeOptions(Parameterization config) |
protected void |
ScatterPlotFactory.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 |
ClusterHullVisualization.Parameterizer.makeOptions(Parameterization config) |
protected void |
VoronoiVisualization.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 |
AlgorithmStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
OutputStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
EvaluationStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
InputStep.Parameterizer.makeOptions(Parameterization config) |
protected void |
LoggingStep.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
SameSizeKMeansAlgorithm.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveAgglomerativeHierarchicalClustering4.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveAgglomerativeHierarchicalClustering3.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveAgglomerativeHierarchicalClustering1.Parameterizer.makeOptions(Parameterization config) |
protected void |
NaiveAgglomerativeHierarchicalClustering2.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
MultiLPNorm.Parameterizer.makeOptions(Parameterization config) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
ODIN.Parameterizer.makeOptions(Parameterization config) |
protected void |
DistanceStddevOutlier.Parameterizer.makeOptions(Parameterization config) |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.