| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.application | 
 Base classes for standalone 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.greedyensemble | 
 Greedy ensembles for outlier detection. 
 | 
| de.lmu.ifi.dbs.elki.gui.minigui | 
 A very simple UI to build ELKI command lines 
 | 
| de.lmu.ifi.dbs.elki.gui.multistep | 
 Multi-step GUI for ELKI 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ClassifierHoldoutEvaluationTask<O>
Evaluate a classifier. 
 | 
class  | 
ConvertToBundleApplication
Convert an input file to the more efficient ELKI bundle format. 
 | 
class  | 
GeneratorXMLSpec
Generate a data set based on a specified model (using an XML specification) 
 | 
class  | 
KDDCLIApplication
Basic command line application for Knowledge Discovery in Databases use
 cases. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
static java.lang.Class<? extends AbstractApplication> | 
ELKILauncher.DEFAULT_APPLICATION
Application to run by default. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
protected abstract AbstractApplication | 
AbstractApplication.Parameterizer.makeInstance()  | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
CacheDoubleDistanceInOnDiskMatrix<O>
Precompute an on-disk distance matrix, using double precision. 
 | 
class  | 
CacheDoubleDistanceKNNLists<O>
Precompute the k nearest neighbors in a disk cache. 
 | 
class  | 
CacheDoubleDistanceRangeQueries<O>
Precompute the k nearest neighbors in a disk cache. 
 | 
class  | 
CacheFloatDistanceInOnDiskMatrix<O>
Precompute an on-disk distance matrix, using float precision. 
 | 
class  | 
PrecomputeDistancesAsciiApplication<O>
Application to precompute pairwise distances into an ascii file. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
EvaluateIntrinsicDimensionalityEstimators
Class for testing the estimation quality of intrinsic dimensionality
 estimators. 
 | 
class  | 
VisualizeGeodesicDistances
Visualization function for Cross-track, Along-track, and minimum distance
 function. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ComputeKNNOutlierScores<O extends NumberVector>
Application that runs a series of kNN-based algorithms on a data set, for
 building an ensemble in a second step. 
 | 
class  | 
EvaluatePrecomputedOutlierScores
Class to load an outlier detection summary file, as produced by
  
ComputeKNNOutlierScores, and compute popular evaluation metrics for
 it. | 
class  | 
GreedyEnsembleExperiment
Class to load an outlier detection summary file, as produced by
  
ComputeKNNOutlierScores, and compute a naive ensemble for it. | 
class  | 
VisualizePairwiseGainMatrix
Class to load an outlier detection summary file, as produced by
  
ComputeKNNOutlierScores, and compute a matrix with the pairwise
 gains. | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MiniGUI
Minimal GUI built around a table-based parameter editor. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private java.lang.Class<? extends AbstractApplication> | 
MiniGUI.maincls
Application to configure / run. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
MultiStepGUI
Experimenter-style multi step GUI. 
 | 
Copyright © 2019 ELKI Development Team. License information.