Collaboration diagram for mpqc.Math.Clustering:

Documentation

Provides classes and functions for generic cluster analysis.

Classes
class	mpqc::math::clustering::Kmeans
	Kmeans is a class that performs k-means clustering. More...

Functions
template<typename Iter >
Iter	mpqc::math::clustering::closest_cluster (Iter begin, Iter end, Vector3d const &target_center)
	returns the closest element in the input range to the center provided More...

Function Documentation

template<typename Iter >

Iter mpqc::math::clustering::closest_cluster	(	Iter	begin,
		Iter	end,
		Vector3d const &	target_center
	)

returns the closest element in the input range to the center provided

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Parameters

begin	an iterator to the first cluster in the list to search over.
end	an iterator to one past the last cluster to search over.
target_center	a Vector3d, the center, for which the closest cluster will be found

The cluster type only requires that a non-intrusive center function that returns a Vec3d be defined.