{"id":"W3111488477","doi":"10.26418/bbimst.v8i4.36633","title":"ANALISIS CLUSTER NON-HIRARKI DENGAN METODE K-MODES","year":2019,"lang":"id","type":"article","venue":"Bimaster Buletin Ilmiah Matematika Statistika dan Terapannya","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Physics; Cluster (spacecraft); Humanities; Philosophy; Computer science","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":[0.004241692,0.001989892,0.001398962,0.004028562,0.001965698,0.00494196,0.001843873,0.001193567,0.01798289],"category_scores_gemma":[0.01717155,0.0006045713,0.002057719,0.004930376,0.0007522452,0.00314781,0.00193931,0.002340038,0.005841093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753961,"about_ca_system_score_gemma":0.002842183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702676,"about_ca_topic_score_gemma":0.01251082,"domain_scores_codex":[0.9961786,0.0008002523,0.0002491267,0.0008733176,0.001380567,0.0005181571],"domain_scores_gemma":[0.9884539,0.005090871,0.0006473612,0.001027899,0.004384658,0.000395305],"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":[0.002851975,0.0007570434,0.1954442,0.002214363,0.00127335,0.001313201,0.005937949,0.0658399,0.02037871,0.02214061,0.05582023,0.6260285],"study_design_scores_gemma":[0.0001588034,0.001178291,0.2547612,0.001006331,0.00105818,0.00245738,0.02253573,0.499228,0.03540886,0.04521979,0.1363139,0.0006735079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5267156,0.003987561,0.3964045,0.002413569,0.001275256,0.001217976,0.01192627,0.007204168,0.04885512],"genre_scores_gemma":[0.7817054,0.001150609,0.1686745,0.0002914832,0.0002087846,0.0008261348,0.009977341,0.00166275,0.03550293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798289,"threshold_uncertainty_score":0.06015879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008980725349318,"score_gpt":0.2592732145749008,"score_spread":0.2491834073214076,"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."}}