|
Tweet | ||
190 | Mon, 8/10/2015, 10:30 AM - 12:20 PM | CC-603 | |
High-Dimensional Clustering — Contributed Papers | |||
Section on Statistical Learning and Data Mining , International Indian Statistical Association | |||
Chair(s): Reza Ramezan, California State University at Fullerton | |||
10:35 AM | Inference for Hierarchical Clustering of Variables — Maxwell Grazier G'Sell, Carnegie Mellon University ; Rob Tibshirani, Stanford University ; Jonathan Taylor, Stanford University | ||
10:50 AM | Important Features PCA for High-Dimensional Clustering — Wanjie Wang, The Wharton School ; Jiashun Jin, Carnegie Mellon University | ||
11:05 AM | Statistical Properties of Convex Clustering — Kean Ming Tan, University of Washington ; Daniela Witten, University of Washington | ||
11:20 AM | Graphical Models by Using a Joint Regression Quantiles Approach — Hyonho Chun ; Myung Hee Lee, Colorado State University ; Ji Hwan Oh, Purdue University | ||
11:35 AM | Bayesian Network Structure Learning: A Three-Stage Approach and Its Application — Kaixian Yu, Florida State University ; Jinfeng Zhang, Florida State University | ||
11:50 AM | A Coefficient of Determination for Topic Models — Thomas Jones, 3e Services LLC | ||
12:05 PM | A Semiparametric Method for Clustering Mixed Data — Alexander Foss, SUNY Buffalo ; Marianthi Markatou, SUNY Buffalo ; Aliza Heching, IBM T.J. Watson Research Center ; Bonnie K. Ray, IBM T.J. Watson Research Center |
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.