{"id":"W2352810070","doi":"","title":"An Improved Visual Theoretic Clustering Algorithm","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Algorithm; Correlation clustering; CURE data clustering algorithm; Canopy clustering algorithm; Artificial intelligence; Kernel (algebra); Function (biology); Data mining; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003796,0.0007882193,0.001246006,0.003588648,0.001056,0.001989086,0.002834044,0.001854995,0.003991095],"category_scores_gemma":[0.002960728,0.0005369505,0.001519814,0.002882263,0.001148334,0.002141255,0.001864781,0.001231797,0.002449094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622148,"about_ca_system_score_gemma":0.001811967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006139299,"about_ca_topic_score_gemma":0.004586175,"domain_scores_codex":[0.9981092,0.0002556926,0.00009622533,0.0005517288,0.0008195002,0.0001676485],"domain_scores_gemma":[0.9990151,0.0001405439,0.00006545729,0.0001733433,0.000549796,0.00005560535],"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":[0.0001755452,0.00007310825,0.0006569541,0.0001935059,0.0001422836,0.0001388326,0.0002134753,0.2099532,0.0308245,0.1086763,0.0105016,0.6384508],"study_design_scores_gemma":[0.00003527792,0.00004923743,0.000345583,0.00001658897,0.00003391984,0.0002600857,0.00004092728,0.9523369,0.009769647,0.02301793,0.01404357,0.00005041074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002776003,0.000150529,0.9944009,0.00007406212,0.00008344444,0.00004932923,0.00004174859,0.0005254773,0.001898511],"genre_scores_gemma":[0.07264785,0.000218719,0.9197387,0.0001797584,0.000103169,0.0001538995,0.0004850878,0.0002326726,0.006240194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006139299,"threshold_uncertainty_score":0.01335156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004670189611377001,"score_gpt":0.2500997304323026,"score_spread":0.2454295408209256,"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."}}