{"id":"W4408134853","doi":"10.18280/mmep.120214","title":"Feature Subset Selection Based on Differential Evolution Algorithm and K-Mean Clustering","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Feature selection; Feature (linguistics); Pattern recognition (psychology); Computer science; Selection (genetic algorithm); Algorithm; Artificial intelligence; Differential evolution; Differential (mechanical device); Data mining; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00006038907,0.0001798586,0.0001707913,0.000113415,0.00009161807,0.0000548633,0.00004358415,0.00009832509,0.000002682721],"category_scores_gemma":[0.000004946776,0.0001717432,0.00002747576,0.000156197,0.00001728629,0.00005625817,0.00001653269,0.0002248633,0.000001894714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688333,"about_ca_system_score_gemma":0.000003977761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002089913,"about_ca_topic_score_gemma":5.762686e-7,"domain_scores_codex":[0.9993695,0.000004129143,0.0001384107,0.0001951738,0.00008398778,0.0002087977],"domain_scores_gemma":[0.9997415,0.0000583763,0.00001217556,0.0001049796,0.00001713755,0.00006584994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001343792,0.00001577342,0.000002465005,0.0003759617,0.0000126416,1.931777e-7,0.00004076695,0.989545,0.0004619281,0.005313912,0.00001942865,0.004210518],"study_design_scores_gemma":[0.0002026625,0.00001775669,0.00002589892,0.0002526324,0.00001984862,0.000003417358,0.000006872811,0.9930605,0.0001930421,0.005776438,0.0002772693,0.0001636644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005326407,0.0001465066,0.9936161,0.0000927822,0.00007133027,0.0001787221,0.00000562766,0.0004019224,0.0001605968],"genre_scores_gemma":[0.8074242,0.00004574213,0.1922157,0.00001128244,0.00005504535,0.00008529969,0.000009709597,0.00003547057,0.0001175404],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8020979,"threshold_uncertainty_score":0.7003483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007164379171527313,"score_gpt":0.1975765087868812,"score_spread":0.1904121296153539,"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."}}