{"id":"W2390129916","doi":"","title":"Improvement of the Fuzzy C-Means Clustering Algorithm","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Cluster analysis; Algorithm; Canopy clustering algorithm; CURE data clustering algorithm; Fuzzy clustering; Fuzzy logic; Euclidean distance; FLAME clustering; Computer science; Correlation clustering; Mathematics; Artificial intelligence; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000526101,0.00004056994,0.00003809639,0.00001403271,0.00006258584,0.00001640107,0.0005657475,0.00001581654,0.000005962662],"category_scores_gemma":[0.000003248631,0.00002655387,0.00003268003,0.0001440895,0.00002413889,0.00008480959,0.0002797463,0.00007599006,0.00000308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000543705,"about_ca_system_score_gemma":0.00001717231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000011573,"about_ca_topic_score_gemma":0.00001054594,"domain_scores_codex":[0.9996015,0.00000248654,0.0001038307,0.00011331,0.0001082579,0.0000705992],"domain_scores_gemma":[0.9995041,0.00001934464,0.00004728118,0.000361236,0.00004869926,0.00001931477],"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":[1.168081e-7,0.00002655493,0.00001390103,0.00000197848,0.000002333679,8.318684e-8,0.00003764742,0.000434589,0.04879902,0.4497729,0.0001528891,0.500758],"study_design_scores_gemma":[0.0001099257,0.00003679188,0.001176029,0.000005129575,0.000001830413,0.000007515712,0.000009602508,0.6284326,0.1117242,0.2423732,0.01600613,0.0001170563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001344633,0.000001240458,0.991641,0.001259098,0.0001146345,0.0001171275,0.000001210968,0.00008161418,0.005439376],"genre_scores_gemma":[0.2665679,7.909992e-7,0.7328354,0.0002779405,0.00002199768,0.00002064486,2.534162e-7,0.000002151732,0.0002729787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.627998,"threshold_uncertainty_score":0.1082835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008154508093131464,"score_gpt":0.2575501470701234,"score_spread":0.2493956389769919,"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."}}