Package org.locationtech.geowave.analytic.mapreduce.kmeans.runner

Interface Summary

Interface	Description
StripWeakCentroidsRunner.BreakStrategy<T>

Class Summary

Class	Description
IterationCountCalculateRunner<T>	Determine the number of iterations in the KMeans Parallel initialization step.
KMeansDistortionJobRunner	Calculate the distortation.
KMeansIterationsJobRunner<T>	Run 'K' means until convergence across ALL groups.
KMeansJobRunner	Run 'K' means one time to move the centroids towards the mean.
KMeansJumpJobRunner	The KMeans Jump algorithm
KMeansParallelJobRunner	The KMeans Parallel algorithm,labeled Algorithm 2 within in section 3.3 of
KMeansSingleSampleJobRunner<T>
KSamplerJobRunner	Samples 'K' number of data items by evaluating a SamplingRankFunction
RankSamplerJobRunner	Sample K points given a sample function.
SampleMultipleSetsJobRunner<T>
StripWeakCentroidsRunner<T>	Remove weak centers.
StripWeakCentroidsRunner.MaxChangeBreakStrategy<T>
StripWeakCentroidsRunner.StableChangeBreakStrategy<T>
StripWeakCentroidsRunner.TailMaxBreakStrategy<T>
StripWeakCentroidsRunner.TailStableChangeBreakStrategy<T>
UpdateCentroidCostJobRunner	Update the centroid with its cost, measured by the average distance of assigned points.