{"id":"W4389326698","doi":"10.1016/j.asoc.2023.111131","title":"Three-way clustering: Foundations, survey and challenges","year":2023,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Cluster analysis; Computer science; Consensus clustering; GRASP; Fuzzy clustering; Data mining; Constrained clustering; Correlation clustering; Cluster (spacecraft); Set (abstract data type); Conceptual clustering; Artificial intelligence; CURE data clustering algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007752279,0.001173862,0.003762945,0.00486964,0.002477928,0.008681295,0.005940875,0.002450124,0.002817232],"category_scores_gemma":[0.0127976,0.001158237,0.001927947,0.01489418,0.003969735,0.01030126,0.00402869,0.00236138,0.001902936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796942,"about_ca_system_score_gemma":0.003856769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005182568,"about_ca_topic_score_gemma":0.004089557,"domain_scores_codex":[0.9938388,0.001785334,0.0005516068,0.001315832,0.002292226,0.0002160759],"domain_scores_gemma":[0.9880123,0.006143085,0.0005829828,0.001652036,0.00328673,0.0003227165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008572886,0.0001215482,0.002674319,0.003058144,0.0002238747,0.00004615446,0.0006494503,0.01813277,0.0007671835,0.2981261,0.01261054,0.6635041],"study_design_scores_gemma":[0.00002380303,0.0001413054,0.002093251,0.001107041,0.0001179141,0.000759635,0.00164129,0.1314532,0.002317295,0.7244484,0.1356656,0.0002312271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009232479,0.2193982,0.7479686,0.006875134,0.0006184939,0.0001651685,0.0003802459,0.0005643354,0.0147973],"genre_scores_gemma":[0.1940089,0.2539984,0.5402052,0.001785255,0.002327058,0.0003306054,0.001518772,0.0003782667,0.005447532],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008681295,"threshold_uncertainty_score":0.04099846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09446223775692422,"score_gpt":0.2758367361530555,"score_spread":0.1813744983961313,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}