Communities

>>> from techminer2.tech_mining.pca.tfidf_matrix.kmeans import communities
>>> communities(
...     #
...     # PARAMS:
...     field="author_keywords",
...     #
...     # 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,
...     #
...     # 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),
... ).head()
                          CL_0  ...             CL_5
0  FINANCIAL_INCLUSION 03:0590  ...  FINTECH 31:5168
1         CASE_STUDIES 03:0442  ...
2           BLOCKCHAIN 03:0369  ...
3         CROWDFUNDING 03:0335  ...
4       MOBILE_PAYMENT 03:0309  ...

[5 rows x 6 columns]