MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regression.
Sheng RenEmily Lei KangJason L. LuPublished in: Stat. Comput. (2020)
Keyphrases
- variable selection
- high dimensional
- cross validation
- model selection
- pairwise
- dimension reduction
- clustering method
- preprocessing
- linear models
- k means
- linear regression
- dimensionality reduction
- low dimensional
- microarray data
- ls svm
- clustering algorithm
- regression problems
- high dimensional data
- support vector machine svm
- principal component analysis
- support vector machine
- data points
- probabilistic model
- similarity measure