{"id":"W2910986166","doi":"10.5539/cis.v12n1p49","title":"Research and Improvement Method Based on k-mean Clustering Algorithm","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Outlier; Sensitivity (control systems); Noise (video); Algorithm; Filter (signal processing); CURE data clustering algorithm; Correlation clustering; Artificial intelligence; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01352817,0.00007461753,0.0001159967,0.0008003381,0.0004211607,0.001152992,0.0006198911,0.00002692426,0.00003895786],"category_scores_gemma":[0.0001205689,0.0000536631,0.00001489966,0.001400753,0.000253753,0.003152104,0.0004207985,0.0001077511,0.0004335405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004138269,"about_ca_system_score_gemma":0.00008168106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007810324,"about_ca_topic_score_gemma":6.188484e-7,"domain_scores_codex":[0.9974284,0.00009520548,0.0004045029,0.0003120995,0.001531763,0.0002279948],"domain_scores_gemma":[0.9976996,0.0008488472,0.0001171317,0.0005488053,0.000646406,0.0001391863],"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":[0.000006743204,0.00001161365,0.0003241909,0.000009605336,8.627485e-7,8.71906e-8,0.001409362,0.002658915,0.0003126745,0.01798102,0.0002676854,0.9770172],"study_design_scores_gemma":[0.0002196308,0.0002010295,0.006801713,0.0000147145,3.778454e-7,0.000004427686,0.0005129318,0.9795757,0.0004466207,0.002676958,0.009476781,0.00006913563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05388553,0.000002770761,0.9349362,0.0004145664,0.0002440708,0.0004112041,0.000005082998,0.00002272535,0.01007788],"genre_scores_gemma":[0.9078736,0.000001326499,0.09104464,0.0009051698,0.0000315342,0.00001875488,0.000001395254,0.000002211266,0.0001213179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9769481,"threshold_uncertainty_score":0.9998839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0925961158579673,"score_gpt":0.4322403759090277,"score_spread":0.3396442600510604,"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."}}