{"id":"W4234482552","doi":"10.1002/widm.16","title":"Rough clustering","year":2011,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Cluster analysis; Rough set; Computer science; Fuzzy clustering; Data mining; Similarity (geometry); Artificial intelligence; Self-organizing map; Set (abstract data type); Pattern recognition (psychology); Image (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":[0.00455,0.001927416,0.003073147,0.007205703,0.001771518,0.007815208,0.003453179,0.002362218,0.01540955],"category_scores_gemma":[0.01402891,0.0007834507,0.002979143,0.007810429,0.001457857,0.003692702,0.003360792,0.001668983,0.01133956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504504,"about_ca_system_score_gemma":0.002774663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00376345,"about_ca_topic_score_gemma":0.002483388,"domain_scores_codex":[0.9927666,0.001845651,0.0006339521,0.001390201,0.003015583,0.0003479118],"domain_scores_gemma":[0.9954502,0.001219409,0.000386966,0.001147217,0.001688825,0.0001073136],"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":[0.0001744994,0.00007182892,0.002099337,0.001558706,0.0005484601,0.0003093874,0.0005268421,0.1461247,0.002320646,0.2743931,0.07033493,0.5015376],"study_design_scores_gemma":[0.000085293,0.0001139584,0.00189791,0.0006224003,0.0002226373,0.000620449,0.0006146003,0.3714744,0.00421786,0.3701199,0.2498414,0.0001691696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003869543,0.003002388,0.9509876,0.0008551104,0.0004556856,0.0006035947,0.001589863,0.001432954,0.0372032],"genre_scores_gemma":[0.1522773,0.004981334,0.8068827,0.0006350449,0.000546474,0.001094663,0.007618689,0.0005805179,0.02538338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01540955,"threshold_uncertainty_score":0.05155009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1580328407861034,"score_gpt":0.3397054162188211,"score_spread":0.1816725754327177,"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."}}