pyemma.coordinates.clustering.KmeansClustering ============================================== .. currentmodule:: pyemma.coordinates.clustering .. autoclass:: KmeansClustering .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~KmeansClustering.__init__ ~KmeansClustering.assign ~KmeansClustering.describe ~KmeansClustering.dimension ~KmeansClustering.estimate ~KmeansClustering.fit ~KmeansClustering.fit_predict ~KmeansClustering.fit_transform ~KmeansClustering.get_model_params ~KmeansClustering.get_output ~KmeansClustering.get_params ~KmeansClustering.iterator ~KmeansClustering.kmeanspp_center_assigned ~KmeansClustering.n_chunks ~KmeansClustering.n_frames_total ~KmeansClustering.number_of_trajectories ~KmeansClustering.output_type ~KmeansClustering.parametrize ~KmeansClustering.register_progress_callback ~KmeansClustering.sample_indexes_by_cluster ~KmeansClustering.save_dtrajs ~KmeansClustering.set_params ~KmeansClustering.trajectory_length ~KmeansClustering.trajectory_lengths ~KmeansClustering.transform ~KmeansClustering.update_model_params ~KmeansClustering.write_to_csv .. rubric:: Attributes .. autosummary:: ~KmeansClustering.chunksize ~KmeansClustering.clustercenters ~KmeansClustering.data_producer ~KmeansClustering.default_chunksize ~KmeansClustering.dtrajs ~KmeansClustering.filenames ~KmeansClustering.in_memory ~KmeansClustering.index_clusters ~KmeansClustering.is_random_accessible ~KmeansClustering.is_reader ~KmeansClustering.labels_ ~KmeansClustering.logger ~KmeansClustering.model ~KmeansClustering.n_jobs ~KmeansClustering.name ~KmeansClustering.ndim ~KmeansClustering.ntraj ~KmeansClustering.overwrite_dtrajs ~KmeansClustering.ra_itraj_cuboid ~KmeansClustering.ra_itraj_jagged ~KmeansClustering.ra_itraj_linear ~KmeansClustering.ra_linear ~KmeansClustering.show_progress