| Package | Description |
|---|---|
| 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.)
|
| Class and Description |
|---|
| AddSingleScale
Pseudo "algorithm" that computes the global min/max for a relation across all
attributes.
|
| AveragePrecisionAtK
Evaluate a distance functions performance by computing the average precision
at k, when ranking the objects by distance.
|
| DistanceStatisticsWithClasses
Algorithm to gather statistics over the distance distribution in the data
set.
|
| EstimateIntrinsicDimensionality
Estimate global average intrinsic dimensionality of a data set.
|
| EvaluateRankingQuality
Evaluate a distance function with respect to kNN queries.
|
| EvaluateRetrievalPerformance
Evaluate a distance functions performance by computing the mean average
precision, ROC, and NN classification performance when ranking the objects by
distance.
|
| EvaluateRetrievalPerformance.KNNEvaluator
Evaluate kNN retrieval performance.
|
| EvaluateRetrievalPerformance.RetrievalPerformanceResult
Result object for MAP scores.
|
| HopkinsStatisticClusteringTendency
The Hopkins Statistic of Clustering Tendency measures the probability that a
data set is generated by a uniform data distribution.
|
| RankingQualityHistogram
Evaluate a distance function with respect to kNN queries.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.