{"id":"W2897423697","doi":"10.1109/fuzz-ieee.2018.8491461","title":"Classification via Deep Fuzzy c-Means Clustering","year":2018,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; MNIST database; Deep learning; Fuzzy logic; Cluster analysis; Classifier (UML); Convolutional neural network; Machine learning; Neuro-fuzzy; Extractor; Pattern recognition (psychology); Data mining; Fuzzy control system; Engineering","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":[0.001525399,0.001108715,0.001216501,0.004480132,0.001378538,0.001845589,0.002544931,0.002441047,0.003277843],"category_scores_gemma":[0.004754453,0.0004844158,0.001525614,0.002677704,0.0008651665,0.001302068,0.001148878,0.001744528,0.002366024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002617627,"about_ca_system_score_gemma":0.002626473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0353805,"about_ca_topic_score_gemma":0.03040354,"domain_scores_codex":[0.9984908,0.0001476879,0.0001077133,0.0004720124,0.0005735756,0.000208165],"domain_scores_gemma":[0.9980574,0.0002953699,0.000161721,0.0003604699,0.001052814,0.00007220921],"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":[0.0003456491,0.0001784115,0.002778054,0.0001077086,0.0001186278,0.00008359127,0.0001912106,0.3058807,0.009975174,0.01255525,0.01455959,0.653226],"study_design_scores_gemma":[0.000006046464,0.00001278086,0.0005313978,0.00001058297,0.000005721255,0.00001880986,0.00002404841,0.9897259,0.0032342,0.005106166,0.001305395,0.00001895659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04062853,0.0003880901,0.9506969,0.0003514763,0.0001111793,0.0001960524,0.0005905434,0.003423844,0.003613462],"genre_scores_gemma":[0.3090087,0.0002217074,0.6834593,0.0001819966,0.00007066395,0.0002121702,0.002124756,0.0002190148,0.004501746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0353805,"threshold_uncertainty_score":0.0703491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690076774169113,"score_gpt":0.263490884176425,"score_spread":0.2365901164347339,"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."}}