{"id":"W2913529671","doi":"10.1109/ssci.2018.8628863","title":"Hybrid Metaheuristic Algorithm for Clustering","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Metaheuristic; Cluster analysis; Tabu search; Computer science; Parallel metaheuristic; Heuristics; Artificial intelligence; Data mining; Machine learning; Meta-optimization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246506,0.001452025,0.001631036,0.002047076,0.001081622,0.001760845,0.002537505,0.002576292,0.003078228],"category_scores_gemma":[0.002199804,0.0005973453,0.001944036,0.002796649,0.0008624335,0.001456763,0.001154012,0.00159539,0.001115131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792443,"about_ca_system_score_gemma":0.00175455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794848,"about_ca_topic_score_gemma":0.004468475,"domain_scores_codex":[0.999164,0.000299886,0.00005100602,0.0001405043,0.0002603313,0.00008424272],"domain_scores_gemma":[0.9993902,0.000298623,0.00006027527,0.00007062165,0.0001487535,0.00003141836],"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":[0.00007589808,0.00007135195,0.0003793539,0.0002187471,0.0002114833,0.00007718046,0.00008528429,0.854416,0.002508758,0.04346794,0.00435287,0.09413528],"study_design_scores_gemma":[0.00002195441,0.00002313118,0.00005781568,0.0000183776,0.00001778188,0.00003454262,0.00001471343,0.9819337,0.0005976153,0.01188292,0.005385937,0.00001162856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004000004,0.001237047,0.9882571,0.0002601109,0.0001186295,0.00009007866,0.00008066133,0.0004436208,0.005512791],"genre_scores_gemma":[0.1498565,0.001736995,0.8381295,0.0004573415,0.000132071,0.000610084,0.0004708482,0.0002255976,0.008380975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004794848,"threshold_uncertainty_score":0.01300514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140047396787493,"score_gpt":0.3250039390918261,"score_spread":0.2936034651239512,"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."}}