{"id":"W4293075356","doi":"10.1007/s11063-022-10876-9","title":"Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering","year":2022,"lang":"en","type":"article","venue":"Neural Processing Letters","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Cluster analysis; Fuzzy clustering; Computer science; Premature convergence; Canopy clustering algorithm; Population; CURE data clustering algorithm; Correlation clustering; Data mining; Algorithm; Fuzzy logic; Artificial intelligence; Genetic algorithm; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002913679,0.0001847924,0.0001962345,0.0002213277,0.0008691789,0.0003079473,0.0008229941,0.00002895187,0.00001597447],"category_scores_gemma":[0.00006269963,0.0001992278,0.00007425483,0.0005545179,0.00004472293,0.000464283,0.0004582773,0.0002629873,0.000004032931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016534,"about_ca_system_score_gemma":0.00006872614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003359655,"about_ca_topic_score_gemma":0.000002638998,"domain_scores_codex":[0.9978289,0.000186788,0.0003254023,0.0005990089,0.0005852403,0.0004746445],"domain_scores_gemma":[0.9991998,0.00009422596,0.000173236,0.0003077594,0.0001154684,0.0001095279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009801459,0.00003879943,0.0000526481,0.00002888295,0.00001033267,0.00002094453,0.0007080222,0.3310649,0.002297041,0.00001372012,0.000198245,0.6655567],"study_design_scores_gemma":[0.0006195394,0.00007772078,0.00130685,0.000007657366,0.000007613449,0.00003879756,0.00006697327,0.997278,0.0001201079,0.0000664385,0.0001856365,0.0002247155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004021506,0.00008431887,0.9926136,0.002005729,0.0004837374,0.00054224,0.00001188377,0.0002205416,0.00001642914],"genre_scores_gemma":[0.1491155,0.000001481336,0.8486016,0.001775624,0.0001082525,0.0002475725,0.00002108968,0.00003211913,0.00009679027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.666213,"threshold_uncertainty_score":0.8124274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514023152022985,"score_gpt":0.2918834960461155,"score_spread":0.2467432645258856,"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."}}