{"id":"W2003144493","doi":"10.1198/jcgs.2010.08111","title":"Combining Mixture Components for Clustering","year":2010,"lang":"en","type":"article","venue":"Journal of Computational and Graphical Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":348,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Mixture model; Cluster analysis; Mathematics; Determining the number of clusters in a data set; Gaussian; Entropy (arrow of time); Piecewise; Cluster (spacecraft); Computer science; Statistics; Correlation clustering; CURE data clustering algorithm; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577668605565137,"score_gpt":0.280924284971499,"score_spread":0.2651475989158477,"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."}}