{"id":"W2623118547","doi":"10.5120/ijca2016912481","title":"A Survey on Unsupervised Clustering Algorithm based on K-Means Clustering","year":2016,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Computer science; Cluster analysis; Data mining; Artificial intelligence","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":[0.001124178,0.001338699,0.001817572,0.003861995,0.001608725,0.002127215,0.002020127,0.001607275,0.004124583],"category_scores_gemma":[0.00287954,0.0005950672,0.001709071,0.007583594,0.000763842,0.0028089,0.001007134,0.001065726,0.003778488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106117,"about_ca_system_score_gemma":0.002062329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006422623,"about_ca_topic_score_gemma":0.00431178,"domain_scores_codex":[0.9978339,0.0003593027,0.0002073189,0.0005563293,0.0009546882,0.00008841885],"domain_scores_gemma":[0.9987212,0.0002804168,0.00007518767,0.0001398492,0.0007445695,0.00003865851],"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":[0.0001408622,0.0001433392,0.003595182,0.002046652,0.000312512,0.0002014306,0.0003356171,0.04129687,0.005107487,0.03471466,0.03442912,0.8776763],"study_design_scores_gemma":[0.00008064125,0.0002653818,0.008121895,0.0009686396,0.0003246639,0.002198912,0.000751999,0.3976848,0.02015182,0.07512599,0.493913,0.0004122349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005302323,0.03083392,0.9435167,0.0007116323,0.0007612534,0.0002307221,0.000530137,0.001737299,0.01637604],"genre_scores_gemma":[0.09154984,0.06408484,0.8199568,0.0007468493,0.001341352,0.0007217284,0.003527434,0.0007219074,0.01734913],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006422623,"threshold_uncertainty_score":0.01379812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065495575342909,"score_gpt":0.3235721712299041,"score_spread":0.292917215476475,"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."}}