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

Classes

class  T_Cluster_engine_k_means_center_of_mass< PointType, VectorType >
 Representation of a center of mass in k-means algorithm. More...
 
class  T_Cluster_engine_k_means_point_selector_random< PointType, VectorType >
 Select randomly the initial centers of mass for k-means algorithm. More...
 
class  T_Cluster_engine_k_means_point_selector_plus_plus< PointType, VectorType, Distance >
 Select initial centers of mass using the ++ strategy. More...
 
class  T_Cluster_engine_k_means_point_selector_minimax< PointType, VectorType, Distance >
 Select initial centers of mass by maximizing the min distance between centers of mass at each selection step. More...
 
class  T_Cluster_engine_k_means< PointType, VectorType, Distance >
 K-means algorithm. More...
 
class  T_Cluster_engine_Morse_theory_based< PointType, DistanceFunction, TNNQuery, TGetDensity >
 Morse theory based clustering algorithm. More...
 
class  T_Cluster_engine_module< ModuleTraits >
 Module which computes clusters from a cloud of points. More...
 

Description