Cluster Centers

>>> from techminer2.tech_mining.svd.tfidf_matrix.kmeans import cluster_centers
>>> cluster_centers(
...     #
...     # PARAMS:
...     field="nlp_phrases",
...     #
...     # TF PARAMS:
...     is_binary=True,
...     cooc_within=1,
...     #
...     # TF-IDF parameters:
...     norm=None,
...     use_idf=False,
...     smooth_idf=False,
...     sublinear_tf=False,
...     #
...     # ITEM PARAMS:
...     top_n=20,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_items=None,
...     #
...     # SVD PARAMS:
...     n_components=5,
...     algorithm_svd="randomized",
...     n_iter=5,
...     n_oversamples=10,
...     power_iteration_normalizer="auto",
...     random_state=0,
...     tol=0.0,
...     #
...     # KMEANS PARAMS:
...     n_clusters=6,
...     init="k-means++",
...     n_init=10,
...     max_iter=300,
...     kmeans_tol=0.0001,
...     algorithm_kmeans="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    1.923172 -0.248246 -0.185237  0.388381 -0.678765
CL_1    1.999181  1.313913  0.516360 -0.146503  0.186634
CL_2    1.957021 -1.108232  0.089587  0.307670  1.527393
CL_3    2.132002  1.243576 -1.446699 -0.095713  0.644459
CL_4    5.637435 -1.177566 -0.626955 -0.713120  0.625639
CL_5    3.559041 -1.037701  2.320191 -0.835742 -0.441154