>>> from techminer2.tech_mining.pca.cooc_matrix.kmeans import cluster_centers
>>> cluster_centers(
... #
... # PARAMS:
... field="author_keywords",
... association_index=None,
... #
... # ITEM PARAMS:
... top_n=20,
... occ_range=(None, None),
... gc_range=(None, None),
... custom_items=None,
... #
... # PCA PARAMS:
... n_components=5,
... whiten=False,
... svd_solver="auto",
... pca_tol=0.0,
... iterated_power="auto",
... n_oversamples=10,
... power_iteration_normalizer="auto",
... random_state=0,
... #
... # KMEANS PARAMS:
... n_clusters=6,
... init="k-means++",
... n_init=10,
... max_iter=300,
... kmeans_tol=0.0001,
... algorithm="auto",
... #
... # DATABASE PARAMS:
... root_dir="example/",
... database="main",
... year_filter=(None, None),
... cited_by_filter=(None, None),
... )
DIM_0 DIM_1 DIM_2 DIM_3 DIM_4
LABELS
CL_0 -1.769506 -0.928760 -0.967392 -0.846595 0.067259
CL_1 -2.395520 1.972751 0.525795 -0.351139 -0.190105
CL_2 -1.320904 -2.582578 2.670715 0.533225 -0.480539
CL_3 -1.052596 0.461794 -1.298647 2.357028 0.378537
CL_4 28.644359 -0.690790 -0.131181 -0.042238 -0.125029
CL_5 2.214269 6.592222 1.650930 -0.451210 0.653384