Exploration of the variability of variable selection based on distances between bootstrap sample results.
Christian HennigWilli SauerbreiPublished in: Adv. Data Anal. Classif. (2019)
Keyphrases
- variable selection
- cross validation
- input variables
- model selection
- linear models
- high dimensional
- stochastic search
- dimension reduction
- group lasso
- ls svm
- distance measure
- ensemble selection
- training set
- high dimensional data
- sample size
- neural network
- logistic regression models
- support vector
- feature selection
- unsupervised learning
- k nearest neighbor
- least squares
- pattern recognition
- computer vision
- data sets
- sparsity inducing