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

Packages that use de.lmu.ifi.dbs.elki.algorithm.statistics

Package	Description
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms.

Classes in de.lmu.ifi.dbs.elki.algorithm.statistics used by de.lmu.ifi.dbs.elki.algorithm.statistics

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.
DistanceQuantileSampler Compute a quantile of a distance sample, useful for choosing parameters for algorithms.
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.
RangeQuerySelectivity Evaluate the range query selectivity.
RankingQualityHistogram Evaluate a distance function with respect to kNN queries.