{"id":"W4408010925","doi":"10.18280/isi.300215","title":"HWKPA: Optimized Ensemble Clustering with Hybrid Weighted K-Means Pollination with Major Voting Consensus Function for Enhancing Cluster Quality","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Voting; Cluster (spacecraft); Pollination; Computer science; Function (biology); Mathematics; Biology; Artificial intelligence; Botany; Pollen; Evolutionary biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001588786,0.0009452245,0.001375469,0.0008899986,0.00112327,0.0009100006,0.003039381,0.00126493,0.002314966],"category_scores_gemma":[0.003095334,0.0004926412,0.0009124733,0.001171046,0.0004627343,0.001336903,0.001797036,0.001006589,0.0007288512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008291458,"about_ca_system_score_gemma":0.001413004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007593175,"about_ca_topic_score_gemma":0.009494144,"domain_scores_codex":[0.9987525,0.0003224731,0.00005561173,0.0002755748,0.0004561362,0.0001377918],"domain_scores_gemma":[0.9985929,0.0003893994,0.00008647063,0.0002720417,0.00057813,0.00008100443],"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":[0.0005552373,0.0002440719,0.001584071,0.0001234473,0.0002845021,0.0001145748,0.0002109779,0.4966241,0.02734,0.004781314,0.008321893,0.4598158],"study_design_scores_gemma":[0.00001270742,0.00002367893,0.0002019737,0.000001614778,0.000009357767,0.0000177877,0.00001005565,0.9960757,0.002585577,0.0006826489,0.0003712409,0.00000760016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01725716,0.000116027,0.9799436,0.00005723612,0.00008354471,0.00005384004,0.00004814348,0.001674318,0.0007661293],"genre_scores_gemma":[0.4378211,0.00007377566,0.5576076,0.0001255732,0.00006516245,0.0002477674,0.000376443,0.0004714036,0.003211211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007593175,"threshold_uncertainty_score":0.01509798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271442017937929,"score_gpt":0.2433400105120706,"score_spread":0.2306255903326913,"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."}}