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

class 
DensityBinning 
Performs densitybased binning.

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

class 
FrequencyBinning 
Performs frequency binning.

class 
ManualBinning 
Generates a predefined number of equal sized bins.

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

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

class 
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.

class 
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.

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