{"id":"W2051549497","doi":"10.1109/foci.2007.371524","title":"Fuzzy Clustering and Mapping of Ordinal Values to Numerical","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Cluster analysis; Fuzzy clustering; Feature (linguistics); Measure (data warehouse); Mathematics; Pattern recognition (psychology); Fuzzy set; Fuzzy logic; Ordinal optimization; Data mining; Artificial intelligence; Ordinal regression; Ordinal data; Object (grammar); Computer science; FLAME clustering; Algorithm; CURE data clustering algorithm; Statistics","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":[0.00189045,0.0004871705,0.0006183326,0.001945567,0.0008246004,0.001629001,0.0009378435,0.0006819217,0.002517482],"category_scores_gemma":[0.01060117,0.0003026356,0.0006657648,0.001999072,0.00155194,0.001840419,0.001033384,0.0009845819,0.0005917994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186095,"about_ca_system_score_gemma":0.0007957322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002363927,"about_ca_topic_score_gemma":0.001491747,"domain_scores_codex":[0.998268,0.0006035934,0.00009995538,0.0003718533,0.0005703124,0.00008631826],"domain_scores_gemma":[0.9977181,0.001058951,0.0002930412,0.0003398249,0.0005193985,0.00007063762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001957576,0.00006583577,0.002970157,0.0003042584,0.0001006608,0.0001859231,0.001024836,0.3516473,0.008580429,0.3340924,0.001871458,0.298961],"study_design_scores_gemma":[0.00001922822,0.0000648879,0.00168892,0.0000475062,0.00001994022,0.000168405,0.0001874674,0.7487766,0.00457001,0.2376595,0.006743546,0.0000539941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01742139,0.0002356168,0.9795647,0.0001173158,0.00003819089,0.00004504456,0.00005671772,0.000119998,0.002401005],"genre_scores_gemma":[0.2935688,0.0003060873,0.7028719,0.00004494013,0.0000436826,0.0001537612,0.0001498845,0.0000515422,0.002809386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002517482,"threshold_uncertainty_score":0.009997785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055908909055389,"score_gpt":0.3246856352156143,"score_spread":0.2941265461250605,"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."}}