{"id":"W4378087396","doi":"10.3390/app13106342","title":"VSFCM: A Novel Viewpoint-Driven Subspace Fuzzy C-Means Algorithm","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Anhui Provincial Key Research and Development Plan; National Key Research and Development Program of China; Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Initialization; Cluster analysis; Computer science; Subspace topology; Fuzzy clustering; Data mining; Pattern recognition (psychology); Correlation clustering; Algorithm; Artificial intelligence; Fuzzy logic","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":[0.0008991782,0.001113591,0.00124996,0.001637904,0.001110677,0.00104206,0.002335776,0.001532921,0.001770333],"category_scores_gemma":[0.002259924,0.0004828566,0.001393746,0.001710341,0.0006833171,0.001178847,0.001533139,0.001388333,0.0008339241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116131,"about_ca_system_score_gemma":0.00245273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01580217,"about_ca_topic_score_gemma":0.01264962,"domain_scores_codex":[0.9990516,0.0001580199,0.00004033593,0.000207487,0.0004532083,0.00008928423],"domain_scores_gemma":[0.999413,0.000111517,0.00004153014,0.00006981958,0.0003254019,0.00003868876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002212224,0.00007598621,0.001381801,0.0001350517,0.00013987,0.00008777285,0.0002133302,0.2913458,0.0128953,0.01288966,0.007176013,0.6734383],"study_design_scores_gemma":[0.00001759275,0.00003544141,0.0002560147,0.000009969821,0.00001048704,0.00004854644,0.00001897221,0.991406,0.002341432,0.003538397,0.002295271,0.00002193255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005622074,0.0002160165,0.9924947,0.00007428451,0.00004741675,0.00005782636,0.00006835759,0.0005137631,0.0009054907],"genre_scores_gemma":[0.1165211,0.0002712412,0.8800054,0.0001572626,0.00006083069,0.0002546015,0.0005143855,0.0001666301,0.002048562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01580217,"threshold_uncertainty_score":0.03142041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843435855030365,"score_gpt":0.3199928726557792,"score_spread":0.2715585141054756,"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."}}