{"id":"W1567786505","doi":"10.1002/0471708607.ch10","title":"Fuzzy Clustering of Heterogeneous Patterns","year":2005,"lang":"en","type":"other","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cluster analysis; Fuzzy clustering; Data mining; Representation (politics); Fuzzy logic; Computer science; Artificial intelligence; Mathematics; Pattern recognition (psychology); Theoretical computer science","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":[0.001061235,0.0009988695,0.001459068,0.003222536,0.001494168,0.003075111,0.001082903,0.001934223,0.002754414],"category_scores_gemma":[0.00283089,0.0005274862,0.001631224,0.004378936,0.001319619,0.002454264,0.001212734,0.001128433,0.001287271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000442,"about_ca_system_score_gemma":0.0007775875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00142769,"about_ca_topic_score_gemma":0.0009823416,"domain_scores_codex":[0.998592,0.0003208435,0.00007622257,0.0004422498,0.0004514765,0.0001171753],"domain_scores_gemma":[0.9990338,0.0002559714,0.0001149211,0.000250132,0.0002990028,0.00004611361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001641522,0.00006321884,0.002389193,0.0008014561,0.0002935856,0.0008378591,0.001167291,0.0756934,0.0222809,0.4573922,0.01388806,0.4250287],"study_design_scores_gemma":[0.00002074644,0.0001159243,0.002294723,0.0002119233,0.0002009375,0.001578956,0.0007676762,0.2193605,0.01837437,0.6775841,0.07937366,0.0001164373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01147849,0.003155653,0.9748123,0.0009528111,0.0005246412,0.00006813806,0.0002020083,0.0001941904,0.008611769],"genre_scores_gemma":[0.3272975,0.008709008,0.6413512,0.0005805542,0.001003614,0.0002154933,0.001022127,0.0002032146,0.01961728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003222536,"threshold_uncertainty_score":0.009214461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856599385683777,"score_gpt":0.2921585176019625,"score_spread":0.2735925237451248,"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."}}