Structural Bioinformatics Library
Template C++ / Python API for developping structural bioinformatics applications.

Representation of a center of mass in kmeans algorithm. More...
#include <Cluster_engine_k_means.hpp>
Constructors  
T_Cluster_engine_k_means_center_of_mass (unsigned d)  
Initialize the center of mass at the origin in a Ddimensional space. More...  
T_Cluster_engine_k_means_center_of_mass (const Point &p)  
Initialize the center of mass from a unique point. More...  
T_Cluster_engine_k_means_center_of_mass (const Vector ¢er_of_mass)  
Initialize the center of mass from another center of mass. More...  
Accessors  
const Point &  get (void) const 
void  add_next (const Point &p) 
Self  get_next (void) const 
Representation of a center of mass in kmeans algorithm.
The representation used for a center. must provide a += operation since we accumulate points on a center.
PointType  Representation of a point. 
VectorType  Representation of a vector. 

inline 
Initialize the center of mass at the origin in a Ddimensional space.

inline 
Initialize the center of mass from a unique point.

inline 
Initialize the center of mass from another center of mass.