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

Statistical analysis algorithms.

See: Description

Class Summary

Class	Description
AddSingleScale	Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
AddSingleScale.Parameterizer	Parameterization class.
AddUniformScale	Pseudo "algorithm" that computes the global min/max for a relation across all attributes.
AveragePrecisionAtK<O>	Evaluate a distance functions performance by computing the average precision at k, when ranking the objects by distance.
AveragePrecisionAtK.Parameterizer<O>	Parameterization class.
DistanceQuantileSampler<O>	Compute a quantile of a distance sample, useful for choosing parameters for algorithms.
DistanceQuantileSampler.Parameterizer<O>	Parameterization class
DistanceStatisticsWithClasses<O>	Algorithm to gather statistics over the distance distribution in the data set.
DistanceStatisticsWithClasses.Parameterizer<O>	Parameterization class.
EstimateIntrinsicDimensionality<O>	Estimate global average intrinsic dimensionality of a data set.
EstimateIntrinsicDimensionality.Parameterizer<O>	Parameterization class.
EvaluateRankingQuality<V extends NumberVector>	Evaluate a distance function with respect to kNN queries.
EvaluateRankingQuality.Parameterizer<V extends NumberVector>	Parameterization class.
EvaluateRetrievalPerformance<O>	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.Parameterizer<O>	Parameterization class.
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.
HopkinsStatisticClusteringTendency.Parameterizer	Parameterization class.
RangeQuerySelectivity<V extends NumberVector>	Evaluate the range query selectivity.
RangeQuerySelectivity.Parameterizer<V extends NumberVector>	Parameterization class.
RankingQualityHistogram<O>	Evaluate a distance function with respect to kNN queries.
RankingQualityHistogram.Parameterizer<O>	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.)