Bayesian variable selection in clustering via dirichlet process mixture models
The increased collection of high-dimensional data in various fields has raised a strong interest in clustering algorithms and variable selection procedures. In this disserta- tion, I propose a model-based method that addresses the two problems simultane- ously. I use Dirichlet process mixture models...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
Texas A&M University
2007
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1969.1/5888 |