{"id":"W2394938095","doi":"","title":"Hybrid hierarchical clustering: cluster assessment via cluster validation indices.","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cluster analysis; Hierarchical clustering; Single-linkage clustering; Computer science; Data mining; Benchmark (surveying); Cluster (spacecraft); Brown clustering; Correlation clustering; Fuzzy clustering; Consensus clustering; Hierarchical clustering of networks; CURE data clustering algorithm; Pattern recognition (psychology); Artificial intelligence; Geography","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":[0.00752733,0.0009380404,0.0008603124,0.004045506,0.001075375,0.002447818,0.002103244,0.001004291,0.001532366],"category_scores_gemma":[0.02164699,0.0005492527,0.0009123816,0.003465618,0.0008857142,0.00215608,0.001757158,0.001314186,0.0009918398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705844,"about_ca_system_score_gemma":0.002010147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005222459,"about_ca_topic_score_gemma":0.007687833,"domain_scores_codex":[0.9938065,0.002561329,0.000330259,0.0009289975,0.002171753,0.0002011122],"domain_scores_gemma":[0.9912479,0.003121782,0.001060443,0.001486171,0.002861038,0.0002227285],"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":[0.0008258258,0.000293364,0.02122123,0.0007740106,0.001099345,0.000163052,0.0009190156,0.2302343,0.02249549,0.02567255,0.01606526,0.6802365],"study_design_scores_gemma":[0.00004430948,0.0001346085,0.007602064,0.00008849232,0.0001246566,0.0001287261,0.0002036777,0.9529191,0.01627753,0.01695056,0.005425236,0.0001010181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02579299,0.0006159981,0.9684004,0.0001547343,0.00008985805,0.0003148257,0.0006513406,0.00197689,0.002002969],"genre_scores_gemma":[0.242356,0.0001557825,0.7541404,0.00006944405,0.00003660624,0.0003224597,0.001220367,0.0002503711,0.001448576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00752733,"threshold_uncertainty_score":0.03980881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551950802192791,"score_gpt":0.3310112172137052,"score_spread":0.3054917091917773,"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."}}