BOSO: A novel feature selection algorithm for linear regression with high-dimensional data.
Luis Vitores ValcarcelEdurne San José-EnérizXabier CendoyaÁngel RubioXabier AgirreFelipe PrósperFrancisco J. PlanesPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- high dimensional data
- linear regression
- feature selection algorithms
- data sets
- feature selection
- dimensionality reduction
- least squares
- nearest neighbor
- low dimensional
- regression problems
- high dimensional
- subspace clustering
- selection algorithm
- dimension reduction
- high dimensionality
- input space
- linear discriminant analysis
- data points
- feature set
- selected features
- data analysis
- learning models
- neural network
- input data
- feature subset
- support vector machine
- pairwise
- feature space
- machine learning
- small sample size
- missing values
- semi supervised learning
- text classification
- database
- principal component analysis
- feature extraction