{"id":"W2742708112","doi":"10.1109/isit.2017.8006974","title":"Information-theoretic limits of subspace clustering","year":2017,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Linear subspace; Limit (mathematics); Computer science; Subspace topology; Correlation clustering; Pattern recognition (psychology); Artificial intelligence; Data mining; Mathematics","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":[0.00536085,0.0009364038,0.001912367,0.003014426,0.001898237,0.004335623,0.00334366,0.003160486,0.003093811],"category_scores_gemma":[0.05013538,0.0007922465,0.001060748,0.002727904,0.006234838,0.01046974,0.005439783,0.005721993,0.001052783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002646039,"about_ca_system_score_gemma":0.001375938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260575,"about_ca_topic_score_gemma":0.0008627651,"domain_scores_codex":[0.995074,0.001385717,0.000244546,0.00101274,0.001826424,0.0004565094],"domain_scores_gemma":[0.9712591,0.01946398,0.00208968,0.003206139,0.002579784,0.001401472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008808795,0.00003983764,0.0005760895,0.0001416091,0.00003689695,0.0001071233,0.0002526492,0.05817825,0.001888079,0.9206483,0.002272733,0.01577023],"study_design_scores_gemma":[0.00001035865,0.00002458553,0.0001750657,0.00002458248,0.000006103357,0.00009311156,0.00005102754,0.1961251,0.0009177769,0.8012571,0.001294222,0.00002097232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05026241,0.001386227,0.9354079,0.001783303,0.00008999281,0.00006712015,0.0003025122,0.0004679021,0.01023262],"genre_scores_gemma":[0.7751086,0.002373112,0.2131899,0.000983914,0.000480141,0.0003963179,0.0008967049,0.0004697647,0.006101484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00536085,"threshold_uncertainty_score":0.02835125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556234251913915,"score_gpt":0.2654567965879419,"score_spread":0.2498944540688027,"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."}}