A package providing classical clustering algorithms within a unified framework Reference Manual – User Manual . Authors: F. Cazals and T. Dreyfus
Main classes:
- T_Cluster_engine_k_means_point_selector_random : Select randomly the initial centers of mass for k-means algorithm.
- T_Cluster_engine_k_means_point_selector_plus_plus : Select initial centers of mass using the ++ strategy.
- T_Cluster_engine_k_means_point_selector_minimax : Select initial centers of mass by maximizing the min distance between centers of mass at each selection step
- T_Cluster_engine_k_means : K-means algorithm
- T_Cluster_engine_Morse_theory_based : Morse theory based clustering algorithm