|
Title
|
Room
|
|
Model-Based Clustering
|
M-International Salon A
|
|
Date / Time
|
Sponsor
|
Type
|
|
08/05/2001
8:00 AM
-
4:00 PM
|
ASA, IMS, JQT Review Board, Health Informatics, ASA, ENAR, WNAR, IMS, SSC, Section on Bayesian Stat. Sciences*, Biometrics Section*, Biopharmaceutical Section*, Business & Economics Statistics Section*, Section on Statistical Computing*, Section on Statistical Consulting*, Section on Statistical Education*, Section on Statistics & the Environment*, Section on Statistics in Epidemiology*, Section on Government Statistics*, Section on Statistical Graphics*, Section on Health Policy Statistics*, Section on Statistics and Marketing, Section on Physical & Engineering Sciences*, Section on Quality & Productivity*, Section on Risk Analysis, Social Statistics Section*, Section on Statistics in Sports*, Section on Survey Research Methods*, Section on Teaching of Statistics in the Health Sciences*, General Methodology, Classification Society of North America, Intl Chinese Statistical Association, Intl Indian Statistical Association, Natl Inst of Statistical Sciences, Natl Science Foundation, Cmte on Gay and Lesbian Concerns in Statistics, Cmte on Minorities in Statistics, Cmte on Privacy and Confidentiality, JBES, Technometrics, Chance, The American Statistician, Council of Chapters, ASA Atlanta Chapter, Caucus for Women in Statistics, Cmte on Professional Ethics, Mu Sigma Rho, Korean Statisticians in America, Merck & Co, Indian Statistical Institute, Gay & Lesbian Statisticians' Caucus, University of North Carolina Alumni, Texas A&M University Alumni, SMU Alumni & Friends, Interface Foundation of North American Stat Assn, Communications in Statistics, Census Research Meeting, Isolated Biostatisticians, Association of GCRC Statisticians, John Wiley & Sons, Isolated Statisticians, Cmte on Women in Statistics, Council of Sections, Cmte on Meetings, Cmte on Committees, Individual Membership Subcmte, JASA Book Review, ASA/SIAM Book Series, Carnegie Mellon Alumni & Faculty, Advisory Cmte on Continuing Education, Cmte on Statistics & Disabilities, JABES, JCGS, CIS, Cmte of Representatives to AAAS, Cmte on Career Development, Council of Presidents of Stat Societies, ASA Finance Committee, ASA/MAA Joint Cmte on Undergrad Stats, Academic Program Representatives, Cmte on ASA Archives & Historical Materials, Cmte on Membership, National Institute of Statistical Societies (NISS), Section on Nonparametric Statistics, Natl Research Ctr for Stats in the Environment, JSE, Cmte on Scientific Freedom and Human Rights, Intl Society for Bayesian Analysis (ISBA), Cmte on Statisticians in Defense and National Security, American Educational Research Association (AERA), Memorial Sessions, Amstat Online, Capital One, Household Credit Services, RAND Statistics Group, Cancer Center Biostatistics Directors, Forest Service Statisticians, Addison Wesley, Christian Statisticians, Hispanic Statisticians, Insightful Corporation, University of Pittsburgh, University of Connecticut, Eli Lilly and Company, Advisory Cmte on Teacher Enhancement, Committee on Publications, Science & Public Affairs Advisory Committee, Deming Lectureship Committee, STATS Magazine, Committee on Outreach, SPAIG, Development Committee, Iowa State University Alumni, Noether Award Committee, W J Youden Award in Interlaboratory Testing Cmte, JSM 2002 Program Committee, JSM Advisory Committee, Organizational Membership Committee, Special Subcommittee on Meetings, Key College Publishing, North Carolina State University, Duxbury/Thomson Learning, International Chinese Statistical Association, Statistics in Medicine, Cmte on Applied and Theoretical Statistics, ENAR, IMS, Section on Bayesian Stat. Sciences*, Biometrics Section*, Business & Economics Statistics Section*, Section on Statistical Computing*, Section on Statistical Consulting*, Section on Statistical Education*, Section on Statistics & the Environment*, Section on Statistics in Epidemiology*, Section on Government Statistics*, Section on Statistical Graphics*, Section on Health Policy Statistics*, Section on Physical & Engineering Sciences*, Section on Quality & Productivity*, Social Statistics Section*, Section on Statistics in Sports*, Section on Survey Research Methods*, Section on Teaching of Statistics in the Health Sciences*, General Methodology, Intl Indian Statistical Association, Cmte on Minorities in Statistics, Cmte on Privacy and Confidentiality, JASA, Theory and Methods, JASA, Applications, Caucus for Women in Statistics, Cmte on Women in Statistics, Council of Sections, Section on Nonparametric Statistics, ASA Alaska Chapter, ENAR, WNAR, IMS, Section on Bayesian Stat. Sciences*, Biometrics Section*, Business & Economics Statistics Section*, Section on Statistical Consulting*, Section on Statistical Education*, Section on Government Statistics*, Section on Statistical Graphics*, Section on Health Policy Statistics*, Section on Quality & Productivity*, Social Statistics Section*, Section on Survey Research Methods*, Section on Teaching of Statistics in the Health Sciences*, JASA, Theory and Methods, Caucus for Women in Statistics, Association of GCRC Statisticians, Cmte on Meetings, Washington Statisticial Society, Noether Award Committee, ENAR, IMS, SSC, Section on Statistical Consulting*, Section on Government Statistics*, Section on Health Policy Statistics*, Social Statistics Section*, WNAR, SSC, Cmte on Minorities in Statistics, Section on Statistical Graphics*, Section on Physical & Engineering Sciences*, Section on Quality & Productivity*
|
Other
|
|
Organizer:
|
n/a
|
|
Chair:
|
n/a
|
|
Discussant:
|
|
|
CE Presenter
|
Adrian Raftery
|
Description
Clustering and classification problems are prevasive in the physical, biological and social sciences as well as in engineering. Leading applications have included market segmentation and biological taxonomy, and areas of recent interest include clustering problems in the analysis of DNA microarray gene expression data, text categorization for the Web, automatic image segmentation, and datamining. The goal is to divide data into groups whose members have more in common with each other than with members of other groups. This course describes in detail a general framework for clustering based on mixture models that provides a principled statistical approach to important practical issues that arise in cluster analysis, such as determining the number of groups in the data, selecting an appropriate statistical model, and handling outliers. We show how this methodology can be applied in various clustering applications, as well as to multivariate density estimation and discriminate analysis (supervised classification). Many of these ideas have been implemented in the MCLUST software, whose development has been sponsored over a number of years by the Office of Naval Research. The course will make extensive use of examples demonstrating the use of MCLUST, which interfaces to Splus. Applications in data mining will also be discussed.
Fees: M-$450 (after July 13 $575) NM-$550 (after July 13-$675) SM-$280(no discount after July 13)
Continuing Education Units: 1.20
|
|
