Dimensionality reduction by feature clustering for regression problems.
Rong-Fang XuShie-Jue LeePublished in: Inf. Sci. (2015)
Keyphrases
- regression problems
- high dimensional data
- dimensionality reduction
- input space
- linear regression
- data points
- cross validation
- genetic programming
- low dimensional
- clustering algorithm
- high dimensional
- nearest neighbor
- feature selection
- feature extraction
- principal component analysis
- hyperparameters
- k means
- random forests
- feature vectors
- pattern recognition
- data analysis
- incremental learning
- support vector machine
- feature space
- input data
- training set
- maximum likelihood
- feature subset
- support vector
- multi task
- feature set
- least squares
- learning algorithm