{"id":"W4409496448","doi":"10.23977/acss.2025.090202","title":"Improvement of K-means Clustering Algorithm Based on Quantum State Similarity Measurement","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Algorithm; Similarity (geometry); State (computer science); Computer science; Data mining; Mathematics; Artificial intelligence","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":[0.001329883,0.0002385701,0.0004680788,0.0003382543,0.00008079132,0.0001209721,0.0006937531,0.00005671146,5.231593e-7],"category_scores_gemma":[0.00003325846,0.0002097178,0.00006228844,0.0004313981,0.00004944137,0.0004375089,0.000369299,0.0001589759,5.56954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428424,"about_ca_system_score_gemma":0.0000657601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000037307,"about_ca_topic_score_gemma":0.00001836363,"domain_scores_codex":[0.9975562,0.0001357771,0.0007388262,0.0006164177,0.000648173,0.0003046063],"domain_scores_gemma":[0.9983811,0.0003762782,0.0002626866,0.0006921795,0.0002302754,0.00005752345],"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":[0.00001975486,0.000132211,0.0001573633,0.000213419,0.00001393591,0.00001913362,0.00009921502,0.2592718,0.0005753484,0.003637709,0.0000661679,0.7357939],"study_design_scores_gemma":[0.0004460142,0.0004063636,0.0001437832,0.001337874,0.000002663655,0.000001652572,0.000008987236,0.9783403,0.002133832,0.0151914,0.001794364,0.0001927698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005152086,0.002104073,0.995437,0.0001051525,0.0009840195,0.0005395712,0.000007263891,0.0001356617,0.0001720104],"genre_scores_gemma":[0.711372,0.0001763579,0.2880579,0.0002865276,0.0000326966,0.00005755291,6.762003e-7,0.000009607043,0.000006644684],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7356011,"threshold_uncertainty_score":0.8552045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353811644572998,"score_gpt":0.2978897651654415,"score_spread":0.2743516487197115,"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."}}