{"id":"W130319693","doi":"10.1137/1.9781611972771.49","title":"HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cluster analysis; Scalability; Partition (number theory); Peer-to-peer; Distributed computing; Data mining; Modularity (biology); Consensus clustering; Theoretical computer science; Canopy clustering algorithm; Correlation clustering; Artificial intelligence; Database","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":[0.001251369,0.0006049786,0.0008760844,0.0008783286,0.001360576,0.0009563258,0.002408182,0.0009133162,0.001635032],"category_scores_gemma":[0.002676863,0.000400404,0.0004855558,0.002054988,0.0005699353,0.001766001,0.00190264,0.0008742944,0.0009702455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008187969,"about_ca_system_score_gemma":0.001910678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009296398,"about_ca_topic_score_gemma":0.01241555,"domain_scores_codex":[0.9990112,0.0002118473,0.00004544644,0.0002019432,0.000442164,0.0000873527],"domain_scores_gemma":[0.998755,0.0002965193,0.00008133149,0.000424106,0.0003538004,0.00008920419],"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":[0.0003127931,0.00026865,0.00265011,0.0003824011,0.0001903912,0.0002776638,0.0004161175,0.4052719,0.01873331,0.01994724,0.02399811,0.5275514],"study_design_scores_gemma":[0.00006157527,0.00006442598,0.0004718779,0.000006509518,0.00001823727,0.0001177417,0.00005160753,0.9747351,0.00643165,0.01154493,0.006477005,0.00001940388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01748781,0.0003868529,0.973744,0.000247502,0.00008011892,0.0003313003,0.0002096612,0.005480115,0.002032676],"genre_scores_gemma":[0.1989075,0.0002502719,0.7963024,0.0001087254,0.00006048591,0.000339317,0.0008609272,0.00023306,0.002937289],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009296398,"threshold_uncertainty_score":0.01848453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818911720333706,"score_gpt":0.2821583553010592,"score_spread":0.2639692380977222,"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."}}