Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

AdaptiveSampling	Weighted sampling for k-means++ and similar algorithms
CenterOfGravity	Computes the center of gravity / centroid / 1-means
DatastreamCoreset	Wraps FastCoreset into the Merge & Reduce framework
EuclideanMetric	Euclidean metric for Point objetcs
EuclideanNorm	Euclidean norm for Point objetcs
EuclideanSpace	Euclidean space operations for Point objetcs
EuclideanSquaredMetric	Euclidean squared metric for Point objetcs
EuclideanSquaredNorm	Euclidean squared norm for Point objetcs
FastCoreset	Fast implementation of PROBI
KMedian	K-median evaluation for Point objects
KumarMedian	1-median approximation
LloydMedian	Adaption of Lloyd's algorithm for k-median
LloydProbMedian	Adaption of Lloyd's algorithm for probabilistic k-median
MergeReduce	Merge & Reduce framework template
Metric	Metric interface
Norm	Norm interface
PKMedian	Probabilistic k-median evaluator
Point	Point class
ProbabilisticPoint	Probabilistic point
Randomness	Encapsulates an STL random generator
Sampling	Sampling operations
WeightedPoint	Weighted point class
Weiszfeld	1-median approximation
IterationFailed