{"id":"W2529045002","doi":"10.1007/s10115-016-0998-9","title":"Finding multiple stable clusterings","year":2016,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Office of Naval Research; National Science Foundation","keywords":"Cluster analysis; Computer science; Data mining; Constrained clustering; Clustering high-dimensional data; Spectral clustering; Fuzzy clustering; Correlation clustering; Consensus clustering; Partition (number theory); CURE data clustering algorithm; Stability (learning theory); Machine learning; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003912775,0.00009507349,0.0001194652,0.0001793331,0.0001526374,0.0002857515,0.0003230508,0.00004843156,0.000003653846],"category_scores_gemma":[0.0001064019,0.00006444844,0.00001871903,0.0002230164,0.00002648801,0.006391293,0.0003625768,0.0000531164,0.0004843626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008393385,"about_ca_system_score_gemma":0.00003732493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000136587,"about_ca_topic_score_gemma":0.000002231477,"domain_scores_codex":[0.9991032,0.00003738832,0.000285783,0.0001305761,0.0001810781,0.0002619663],"domain_scores_gemma":[0.9992027,0.0001558547,0.00008670562,0.000279698,0.0001703448,0.0001046479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000179233,0.00002995419,0.002227983,0.000526317,0.00003035523,0.000002948287,0.008420843,0.0002413335,0.002865982,0.03969935,0.003499258,0.9424378],"study_design_scores_gemma":[0.001000575,0.00006843887,0.00125144,0.0002251104,0.000001120048,0.00005478034,0.00017828,0.3206545,0.001196703,0.00008074491,0.6750448,0.0002434579],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004734093,0.0002238498,0.9815965,0.0001215806,0.0005395984,0.0002080784,0.000005446291,0.0001803388,0.01239052],"genre_scores_gemma":[0.9928983,0.00007328569,0.004041505,0.00002866913,0.00008257851,0.00005321547,0.000001851187,0.000005841956,0.00281478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9881642,"threshold_uncertainty_score":0.6225663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254849331534967,"score_gpt":0.2736265916603705,"score_spread":0.2510780983450208,"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."}}