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

K_means_scores : Various scores for K_means

T_Cluster_engine_Morse_theory_based : Morse theory based clustering algorithm

T_Spectral_clustering : Spectral clustering algorithm from Ng et al at NeurIPS 2001

T_Cluster_engine_module : Module which computes clusters from a cloud of points