{"id":"W1990092496","doi":"10.1016/j.ins.2014.03.106","title":"A new credibilistic clustering algorithm","year":2014,"lang":"en","type":"article","venue":"Information Sciences","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cluster analysis; Fuzzy clustering; Computer science; FLAME clustering; Data mining; Correlation clustering; CURE data clustering algorithm; Measure (data warehouse); Pattern recognition (psychology); Fuzzy logic; Credibility; Artificial intelligence","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":[0.002364921,0.0008225071,0.001672051,0.003197149,0.002799223,0.003234902,0.004331261,0.002916278,0.008636435],"category_scores_gemma":[0.007732716,0.0006136221,0.0009972502,0.003963693,0.0013722,0.003723201,0.003228011,0.002585558,0.004586506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472884,"about_ca_system_score_gemma":0.002952846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334033,"about_ca_topic_score_gemma":0.004824217,"domain_scores_codex":[0.9975166,0.0005365176,0.0001697477,0.0007137571,0.0009229061,0.0001405503],"domain_scores_gemma":[0.9971698,0.0006114518,0.0001472842,0.0008384091,0.001027325,0.0002057284],"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":[0.0005256451,0.0002743099,0.001317018,0.0002498742,0.0001317327,0.00009165914,0.0001823658,0.06678295,0.008830116,0.1404527,0.02585397,0.7553077],"study_design_scores_gemma":[0.0001557434,0.0001117436,0.0005218115,0.00005131467,0.00005022924,0.0002784254,0.00006398199,0.8658333,0.005109157,0.1047934,0.02296761,0.0000632525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00488236,0.0003129625,0.9891554,0.0003682848,0.0002678289,0.0001265796,0.0002163536,0.0009666585,0.003703549],"genre_scores_gemma":[0.05553648,0.0002450693,0.9342589,0.0004092499,0.0002540545,0.000214447,0.0008185559,0.0002438439,0.008019363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008636435,"threshold_uncertainty_score":0.0288918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556871035312104,"score_gpt":0.3085933236606262,"score_spread":0.2830246133075052,"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."}}