AbstractBinningAlgorithm 
Ancestor for binning algorithms.

AbstractEqualWidthBinningAlgorithm 
Ancestor for algorithms that use bins with the same width.

DensityBinning 
Performs densitybased binning.

FreedmanDiaconisChoiceBinning 
The FreedmanDiaconis' choice is based on the interquartile range.

FrequencyBinning 
Performs frequency binning.

ManualBinning 
Generates a predefined number of equal sized bins.

NoBinning 
Performs no real binning, just places all items in one bin.

RiceRuleBinning 
The Rice Rule is presented as a simple alternative to Sturges's rule.

ScottsNormalReferenceRuleBinning 
Scott's normal reference rule is optimal for random samples of normally
distributed data, in the sense that it minimizes the integrated mean
squared error of the density estimate.

SquareRootChoiceBinning 
Takes the square root of the number of data points in the sample
used by Excel histograms and many others) and rounds to the next integer.

SturgesFormulaBinning 
Sturges' formula is derived from a binomial distribution and implicitly
assumes an approximately normal distribution.
