Online Program Home
  My Program
Legend:
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

460 * Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-322
Clustering Methods for Big Data Problems — Topic Contributed Papers
Section on Statistical Learning and Data Science
Organizer(s): Ranjan Maitra, Iowa State University
Chair(s): Wei-Chen Chen, FDA/CDRH
8:35 AM A Parallel EM Algorithm for Statistical Learning via Mixture Models Geoffrey McLachlan, The University of Queensland
8:55 AM Clustering Errored Sequence Reads to Estimate Unique Amplicons and Abundance Karin Dorman, Iowa State University ; Xiyu Peng, Iowa State University
9:15 AM A Bayesian Lasso Functional Clustering Model Alejandro Murua, Universite de Montreal ; Folly Adjogou, Université de Montréal ; Wolfgang Raffelsberger, Institut de Génetique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg
9:35 AM Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals Elizabeth Lorenzi, Duke University ; Katherine Heller, Duke University ; Ricardo Henao, Duke University ; Zhifei Sun, Duke University
9:55 AM Efficient Parallelized K-Means for Clustering Big Data Geoffrey Thompson, Iowa State University ; Ranjan Maitra, Iowa State University
10:15 AM Floor Discussion
 
 
Copyright © American Statistical Association