Variable Selection in Model-Based Clustering: To Do or To Facilitate.
Leonard K. M. PoonNevin Lianwen ZhangTao ChenYi WangPublished in: ICML (2010)
Keyphrases
- variable selection
- model based clustering
- input variables
- high dimensional
- cross validation
- hierarchical clustering
- model selection
- mixture model
- expectation maximization
- em algorithm
- bayesian information criterion
- dimension reduction
- vector space model
- clustering algorithm
- k means
- high dimensional data
- document clustering
- computer vision
- selection criterion
- preprocessing
- feature selection