{"id":"W4254621010","doi":"10.1002/0471708607.ch8","title":"Directional Clustering","year":2005,"lang":"en","type":"other","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cluster analysis; Dependency (UML); Computer science; Data mining; Algorithm; 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":[0.001960127,0.001484781,0.001353481,0.005304659,0.002287839,0.003397119,0.001738633,0.001338466,0.01186778],"category_scores_gemma":[0.005464753,0.0006860083,0.001511037,0.006836872,0.0009406745,0.001811487,0.002339422,0.001505118,0.009190884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422299,"about_ca_system_score_gemma":0.001886273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003505549,"about_ca_topic_score_gemma":0.006820753,"domain_scores_codex":[0.9976457,0.0004665343,0.000139171,0.0006897448,0.0008544434,0.0002043649],"domain_scores_gemma":[0.9976617,0.0003034085,0.0001494303,0.0008968846,0.0008883957,0.000100213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002583491,0.0001380815,0.005203426,0.0004487933,0.0002187478,0.0001159848,0.000449576,0.02275026,0.01792683,0.1040953,0.04441345,0.8039811],"study_design_scores_gemma":[0.0000836514,0.0001963126,0.007799567,0.0002294727,0.0003193862,0.00158138,0.001061149,0.501242,0.04216466,0.175676,0.2693935,0.0002529959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007306911,0.0005441349,0.9746875,0.0002857238,0.0002165786,0.0003014407,0.0009636562,0.002707662,0.01298633],"genre_scores_gemma":[0.1089312,0.0008864366,0.8616127,0.0002437642,0.0001134694,0.0003758984,0.004053546,0.0008205151,0.02296244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01186778,"threshold_uncertainty_score":0.0397017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097461571631888,"score_gpt":0.2398474875564493,"score_spread":0.2288728718401304,"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."}}