{"id":"W1966755259","doi":"10.1109/nafips.2010.5548181","title":"A new approach to improve the accuracy of online clustering algorithm based on scatter/gather model","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Process (computing); Cluster (spacecraft); Canopy clustering algorithm; Algorithm; CURE data clustering algorithm; Correlation clustering; Algorithm design; Data stream clustering; Artificial intelligence; Machine learning","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":[0.000433006,0.0002124887,0.0002071571,0.0001653693,0.000108642,0.0001400309,0.002347802,0.00007801059,0.00002588298],"category_scores_gemma":[0.000175326,0.0001413909,0.00008783866,0.0005174195,0.00005369289,0.000308543,0.0009632801,0.0005157699,0.00004453744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004061714,"about_ca_system_score_gemma":0.0002483305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000146038,"about_ca_topic_score_gemma":0.00003161099,"domain_scores_codex":[0.9979479,0.00004240001,0.0002865837,0.0006180797,0.000634736,0.0004702879],"domain_scores_gemma":[0.9974919,0.0002879305,0.00008761222,0.001749246,0.000136482,0.0002468605],"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":[0.00001491135,0.0001846314,0.000002486234,0.00001624055,0.000008843432,0.000001397569,0.0003510731,0.182946,0.0145172,0.0006716723,0.0004451903,0.8008404],"study_design_scores_gemma":[0.0004188048,0.00008957701,0.00006012161,0.00001241295,0.000002141292,0.000005652322,0.00002310708,0.9923617,0.005884415,0.0005173412,0.0004512049,0.0001735846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008634427,0.000002582291,0.992044,0.002941307,0.0002115479,0.0005063424,0.00001123954,0.0001289556,0.003290633],"genre_scores_gemma":[0.03256154,7.191949e-7,0.9625821,0.001322856,0.0001472546,0.0000399324,0.000002324205,0.00002836271,0.003314975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8094157,"threshold_uncertainty_score":0.5765753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906525681003538,"score_gpt":0.316462835831985,"score_spread":0.2873975790219497,"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."}}