{"id":"W2550718412","doi":"10.1109/ijcnn.2016.7727698","title":"Theoretical analysis of the Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering","year":2016,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Cluster analysis; Spectral clustering; Sampling (signal processing); Rank (graph theory); Computer science; Computational complexity theory; Scalability; Algorithm; Matrix (chemical analysis); Mathematics; Artificial intelligence; Pattern recognition (psychology); Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009302697,0.00009647895,0.000248414,0.0001176948,0.00002248977,0.000007620447,0.0001599692,0.0000550812,0.00008903282],"category_scores_gemma":[0.00005060372,0.00005538701,0.0002442437,0.0001837497,0.0001388344,0.00002618761,0.00002835419,0.00003360857,1.289533e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001863899,"about_ca_system_score_gemma":0.000009674883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009406775,"about_ca_topic_score_gemma":0.00003086863,"domain_scores_codex":[0.9993923,0.00001585522,0.0002360028,0.00009720759,0.0001037802,0.0001548458],"domain_scores_gemma":[0.9992484,0.0003430847,0.00003948214,0.0002881506,0.00006060716,0.0000202109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001392927,0.00006205287,0.003855657,0.0001719574,0.001273568,6.773627e-7,0.0002471513,0.07897715,0.8058684,0.1054413,0.0005205394,0.003442219],"study_design_scores_gemma":[0.0001939939,0.00003169238,0.001551686,0.0001047633,0.0002541754,2.112893e-7,0.00004927333,0.3074083,0.6862176,0.004051966,0.00003922304,0.0000970856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3698346,0.00002177504,0.6283572,0.0001216319,0.00007135071,0.0001237499,0.00003581542,0.0001461293,0.001287703],"genre_scores_gemma":[0.9884476,0.000003581929,0.01146683,0.00002247003,0.00002184796,0.000005989864,0.000001771199,0.00001522928,0.00001466534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.618613,"threshold_uncertainty_score":0.2258617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240390278507257,"score_gpt":0.252384669551163,"score_spread":0.2299807667660904,"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."}}