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

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


template<typename Cluster >
double	kmeans_objective (std::vector< Cluster > const &cs)
	provides the quality of the k-means guess for a given clustering. More...

Function Documentation

◆ kmeans_objective()

template<typename Cluster >

double mpqc::math::clustering::kmeans_objective ( std::vector< Cluster > const & cs )

provides the quality of the k-means guess for a given clustering.

The k-means objective function is the sum of the squares of the distance of the cluster's center to the center of each element in the cluster.

Parameters

cs	a vector of clusters which must match the requirements for clusters in Kmeans