See: Description
Interface  Description 

Cluster 
Implementations of this interface have a printable representation and certain
attributes that are common across all clustering implementations

GaussianAccumulator  
Model<O> 
A model is a probability distribution over observed data points and allows
the probability of any data point to be computed.

ModelDistribution<O> 
A model distribution allows us to sample a model from its prior distribution.

Class  Description 

AbstractCluster  
ClusteringUtils  
OnlineGaussianAccumulator 
An online Gaussian statistics accumulator based upon Knuth (who cites Welford) which is declared to be
numericallystable.

RunningSumsGaussianAccumulator 
An online Gaussian accumulator that uses a running power sums approach as reported
on http://en.wikipedia.org/wiki/Standard_deviation
Suffers from overflow, underflow and roundoff error but has minimal observetime overhead

UncommonDistributions 
Output of each clustering algorithm is either a hard or soft assignment of items to clusters.
Copyright © 2008–2015 The Apache Software Foundation. All rights reserved.