Ensemble of penalized logistic models for classification of high-dimensional data.
Musarrat IjazZahid AsgharAsma GulPublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- high dimensional
- dimensionality reduction
- regression problems
- nearest neighbor
- model selection
- subspace clustering
- machine learning
- low dimensional
- data sets
- training set
- data points
- least squares
- small sample size
- high dimensional feature spaces
- high dimensions
- variable selection
- classification accuracy
- clustering high dimensional data
- feature selection
- input space
- manifold learning
- missing values
- linear discriminant analysis
- multivariate temporal data
- high dimensional datasets
- cross validation
- feature space
- data analysis
- support vector
- neural network
- classification algorithm
- support vector machine svm
- principal component analysis
- pattern recognition
- feature extraction
- decision trees