| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm | 
 Algorithms suitable as a task for the  
KDDTask main routine. | 
| 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.evaluation.index | 
 Simple index evaluation methods 
 | 
| de.lmu.ifi.dbs.elki.evaluation.outlier | 
 Evaluate an outlier score using a misclassification based cost model. 
 | 
| de.lmu.ifi.dbs.elki.result | 
 Result types, representation and handling 
 | 
| Modifier and Type | Method and Description | 
|---|---|
CollectionResult<MaterializeDistances.DistanceEntry> | 
MaterializeDistances.run(Database database,
   Relation<O> relation)
Iterates over all points in the database. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
CollectionResult<DoubleVector> | 
AveragePrecisionAtK.run(Database database,
   Relation<O> relation,
   Relation<?> lrelation)
Run the algorithm 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
IndexStatistics.IndexMetaResult
Result class. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
JudgeOutlierScores.ScoreResult
Result object for outlier score judgements. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
HistogramResult<O>
Histogram result. 
 | 
class  | 
ReferencePointsResult<O>
Result used in passing the reference points to the visualizers. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static List<CollectionResult<?>> | 
ResultUtil.getCollectionResults(Result r)
Collect all collection results from a Result 
 | 
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.