drcme.ephys_morph_clustering.hc_nn_cluster_calls

drcme.ephys_morph_clustering.hc_nn_cluster_calls(results_df, morph_data, ephys_data, n_nn=[4, 7, 10], n_cl=[10, 15, 20, 25])

Add agglomerative clustering results with connectivity constraints

Parameters

• results_df (DataFrame) – Existing DataFrame that new clustering results are added to as new columns

• morph_data (array) – Specimens by morphology features array

• ephys_data (array) – Specimens by electrophysiology features array

• n_nn (list, optional) – Set of nearest-neighbor values

• n_cl (list, optional) – Set of cluster numbers

Returns

Combined clustering results. The index is the set of specimen_ids. Each column contains cluster labels for a different clustering variant.

Return type

DataFrame