How to use the clustergrammer2.clustergrammer_fun.make_clust_fun.make_clust function in clustergrammer2

def cluster(self, dist_type='cosine', run_clustering=True,
                 dendro=True, views=[],
                 linkage_type='average', sim_mat=False, filter_sim=0.0,
                 calc_cat_pval=False, run_enrichr=None, enrichrgram=None):
    '''
    The main function performs hierarchical clustering, optionally generates
    filtered views (e.g. row-filtered views), and generates the :
    ``visualization_json``.

    Used to set views equal to ['N_row_sum', 'N_row_var']
    '''
    initialize_net.viz(self)

    make_clust_fun.make_clust(self, dist_type=dist_type,
                                    run_clustering=run_clustering,
                                    dendro=dendro,
                                    requested_views=views,
                                    linkage_type=linkage_type,
                                    sim_mat=sim_mat,
                                    filter_sim=filter_sim,
                                    calc_cat_pval=calc_cat_pval,
                                    run_enrichr=run_enrichr,
                                    enrichrgram=enrichrgram)