| AddSingleScale |
Pseudo "algorithm" that computes the global min/max for a relation across all
attributes.
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| AveragePrecisionAtK |
Evaluate a distance functions performance by computing the average precision
at k, when ranking the objects by distance.
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| DistanceQuantileSampler |
Compute a quantile of a distance sample, useful for choosing parameters for
algorithms.
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| DistanceStatisticsWithClasses |
Algorithm to gather statistics over the distance distribution in the data
set.
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| EvaluateRankingQuality |
Evaluate a distance function with respect to kNN queries.
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| EvaluateRetrievalPerformance |
Evaluate a distance functions performance by computing the mean average
precision, ROC, and NN classification performance when ranking the objects by
distance.
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| EvaluateRetrievalPerformance.KNNEvaluator |
Evaluate kNN retrieval performance.
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| EvaluateRetrievalPerformance.RetrievalPerformanceResult |
Result object for MAP scores.
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| HopkinsStatisticClusteringTendency |
The Hopkins Statistic of Clustering Tendency measures the probability that a
data set is generated by a uniform data distribution.
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| RankingQualityHistogram |
Evaluate a distance function with respect to kNN queries.
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