{"id":"W2122471363","doi":"10.1109/tfuzz.2010.2040479","title":"Fuzzy Clustering with Viewpoints","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Viewpoints; Cluster analysis; Computer science; Data mining; Fuzzy clustering; Perspective (graphical); Fuzzy logic; Domain knowledge; Artificial intelligence; Domain (mathematical analysis); Machine learning; Mathematics","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":[0.003261025,0.001120698,0.001197179,0.00179572,0.001144339,0.002696238,0.002025201,0.001375734,0.002266047],"category_scores_gemma":[0.007012502,0.0007076825,0.002312725,0.002456897,0.001724142,0.003129855,0.003161848,0.001744059,0.0008612317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070076,"about_ca_system_score_gemma":0.001323833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003677941,"about_ca_topic_score_gemma":0.002741106,"domain_scores_codex":[0.9966856,0.001280622,0.0001743445,0.0007060972,0.0009838394,0.0001696907],"domain_scores_gemma":[0.9978707,0.0008044079,0.0001810002,0.0006122435,0.000440523,0.00009114196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001661482,0.00005425783,0.001294186,0.000309556,0.0001204661,0.0001642216,0.001061117,0.2546918,0.009087704,0.5634621,0.002378696,0.1672097],"study_design_scores_gemma":[0.00003032614,0.0001273111,0.0005440606,0.00008055357,0.00006018759,0.0002220186,0.0002521135,0.7254059,0.005491674,0.2501049,0.01760973,0.00007114118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004591318,0.0001492443,0.9928283,0.00009833091,0.00002210053,0.00004329381,0.00004841376,0.00007899544,0.002139968],"genre_scores_gemma":[0.1199003,0.0003485267,0.8770812,0.00007606424,0.0000516247,0.0001218541,0.0003063799,0.00008099707,0.002033092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003677941,"threshold_uncertainty_score":0.01724619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440978234273258,"score_gpt":0.2263498217070301,"score_spread":0.2119400393642975,"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."}}