{"id":"W4211218449","doi":"10.1007/978-1-4471-7452-3_10","title":"Clustering II: Topics in Clustering","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cluster analysis; Computer science; Correlation clustering; CURE data clustering algorithm; Single-linkage clustering; Fuzzy clustering; Consensus clustering; Hierarchical clustering; Data mining; Brown clustering; Artificial intelligence","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":[0.0007560321,0.001728955,0.001918919,0.003685846,0.001296198,0.005303759,0.00189566,0.001620656,0.05007891],"category_scores_gemma":[0.00220726,0.0009884137,0.00121694,0.01005878,0.001277552,0.005751476,0.001833727,0.003197144,0.04486465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169277,"about_ca_system_score_gemma":0.001709626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767887,"about_ca_topic_score_gemma":0.002560362,"domain_scores_codex":[0.9989898,0.0001286644,0.00004468201,0.0002879452,0.0004915853,0.00005735784],"domain_scores_gemma":[0.9990483,0.0003385607,0.00003873066,0.0001590699,0.0003214293,0.00009397314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000250234,0.0000408088,0.0001072653,0.0008621992,0.00002820692,0.00003033052,0.0001785111,0.002995474,0.001111559,0.09956348,0.4788829,0.4161742],"study_design_scores_gemma":[0.000006202592,0.0000242377,0.0004405261,0.0003851531,0.00001737663,0.0002370516,0.00009699795,0.004608167,0.0008463035,0.1084653,0.8848433,0.00002936769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001464951,0.1864659,0.4111576,0.006146686,0.01515267,0.0002689398,0.002121551,0.003975772,0.3732459],"genre_scores_gemma":[0.01455689,0.1216231,0.2199727,0.003295246,0.0134951,0.000477262,0.004963449,0.004214975,0.6174013],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05007891,"threshold_uncertainty_score":0.1675306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726779996790174,"score_gpt":0.2929327815631323,"score_spread":0.2556649815952305,"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."}}