{"id":"W2234615877","doi":"10.1080/10618600.2018.1546593","title":"A General Hybrid Clustering Technique","year":2018,"lang":"en","type":"preprint","venue":"Journal of Computational and Graphical Statistics","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Division of Mathematical Sciences; Defense Threat Reduction Agency","keywords":"Cluster analysis; Single-linkage clustering; Complete-linkage clustering; Dendrogram; Complete linkage; Correlation clustering; CURE data clustering algorithm; Series (stratigraphy); Regular polygon; Mathematics; k-medians clustering; Computer science; Joins; Hamming distance; Combinatorics; Data mining; Artificial intelligence; Geometry","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":[0.002684225,0.001474544,0.001661928,0.004145661,0.002104544,0.002501964,0.004132249,0.003059672,0.01044752],"category_scores_gemma":[0.005259081,0.0009140644,0.002836036,0.004998524,0.001478099,0.003014842,0.004327227,0.002997387,0.008916982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077043,"about_ca_system_score_gemma":0.00140674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092081,"about_ca_topic_score_gemma":0.004175202,"domain_scores_codex":[0.9962698,0.0008281509,0.0001724235,0.001235233,0.001262009,0.0002323312],"domain_scores_gemma":[0.9973985,0.0006298496,0.0001602603,0.0009471321,0.0007520552,0.0001121712],"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":[0.0002681467,0.0001705473,0.002255537,0.0006158429,0.0006241055,0.0004111467,0.0009005414,0.09897605,0.03348607,0.2279334,0.03522801,0.5991305],"study_design_scores_gemma":[0.00008939945,0.0001726006,0.001714663,0.0001184226,0.0001885656,0.001344168,0.00033148,0.707683,0.0119934,0.1656023,0.110597,0.0001651142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001183092,0.0002132871,0.99537,0.0001293893,0.00008793377,0.00007220484,0.000127779,0.0006289388,0.002187309],"genre_scores_gemma":[0.02938713,0.0003531387,0.9594452,0.0003571014,0.0001709347,0.0003071647,0.0006518535,0.0004765371,0.008850901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01044752,"threshold_uncertainty_score":0.03495049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095527728633263,"score_gpt":0.3180252457379465,"score_spread":0.2970699684516139,"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."}}