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      Cover image for Bayesian Spatial and Nonparametric Models for Cancer Radiomics
      1. 
      Bayesian Spatial and Nonparametric Models for Cancer Radiomics
      by 
      Li, Xiao, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10747198
      Format: 
      Excerpt: 
      , interrogations of "textural" features based on analysis gray-level spatial dependence through the Gray-Level Co
      Cover image for Clustering Biological Data with Self-adjusting High-dimensional Sieve
      2. 
      Clustering Biological Data with Self-adjusting High-dimensional Sieve
      by 
      Gonzalez, Josselyn, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10789012
      Format: 
      Excerpt: 
      analysis of variance. We use each algorithm to cluster Fisher's Iris Flower data set, which consists of 3
      Cover image for Discrimination and diagnosis
      3. 
      Discrimination and diagnosis
      by 
      O Muircheartaigh, Iognaid Gearoid, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10868059
      Format: 
      Excerpt: 
      discriminant, whether or not the covariance matrices of the underlyng (assumed multivariate normal) populations