Package 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.)

See: Description

Class Summary

Class	Description
AddSingleScale	Pseudo "algorith" that computes the global min/max for a relation across all attributes.
AveragePrecisionAtK<V,D extends NumberDistance<D,?>>	Evaluate a distance functions performance by computing the average precision at k, when ranking the objects by distance.
AveragePrecisionAtK.Parameterizer<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>	Parameterization class.
DistanceStatisticsWithClasses<O,D extends NumberDistance<D,?>>	Algorithm to gather statistics over the distance distribution in the data set.
DistanceStatisticsWithClasses.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.
EvaluateRankingQuality<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>	Evaluate a distance function with respect to kNN queries.
EvaluateRankingQuality.Parameterizer<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>	Parameterization class.
RankingQualityHistogram<O,D extends NumberDistance<D,?>>	Evaluate a distance function with respect to kNN queries.
RankingQualityHistogram.Parameterizer<O,D extends NumberDistance<D,?>>	Parameterization class.

Package de.lmu.ifi.dbs.elki.algorithm.statistics Description

Statistical analysis algorithms

The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)