>>> from techminer2.tech_mining.pca.cooc_matrix.brute_force import communities
>>> communities(
... #
... # 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,
... #
... # BRUTE FORCE PARAMS:
... brute_force_labels={
... 'MOBILE_PAYMENT 03:0309': 0,
... 'FINANCIAL_INCLUSION 03:0590': 0, 'CASE_STUDIES 03:0442': 0,
... 'BLOCKCHAIN 03:0369': 0, 'CROWDFUNDING 03:0335': 0,
... 'FUTURE_RESEARCH 02:0691': 0, 'CYBER_SECURITY 02:0342': 0,
... 'ARTIFICIAL_INTELLIGENCE 02:0327': 0, 'DIGITALIZATION 03:0434': 1,
... 'BANKING 03:0375': 1, 'FINANCIAL_INSTITUTION 02:0484': 1,
... 'TECHNOLOGIES 02:0310': 1, 'SHADOW_BANKING 03:0643': 2,
... 'PEER_TO_PEER_LENDING 03:0324': 2, 'MARKETPLACE_LENDING 03:0317': 2,
... 'FINANCIAL_SERVICES 04:0667': 3, 'FINANCIAL_TECHNOLOGY 04:0551': 3,
... 'BUSINESS 03:0896': 3, 'FINTECH 31:5168': 4, 'INNOVATION 07:0911': 5
... },
... #
... # 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 ... INNOVATION 07:0911
1 CASE_STUDIES 03:0442 ...
2 BLOCKCHAIN 03:0369 ...
3 CROWDFUNDING 03:0335 ...
4 MOBILE_PAYMENT 03:0309 ...
[5 rows x 6 columns]