Evaluating Feature Selection Robustness on High-Dimensional Data.
Barbara PesPublished in: HAIS (2018)
Keyphrases
- high dimensional data
- high dimensionality
- feature selection
- dimensionality reduction
- dimension reduction
- nearest neighbor
- low dimensional
- high dimensional
- high dimensions
- subspace clustering
- gene expression data
- data sets
- data analysis
- similarity search
- data distribution
- original data
- text categorization
- variable selection
- input space
- manifold learning
- small sample size
- feature space
- linear discriminant analysis
- data points
- high dimensional datasets
- high dimensional spaces
- sparse representation
- nonlinear dimensionality reduction
- preprocessing step
- knn
- missing values
- feature subset
- support vector machine
- principal component analysis
- feature set
- text data
- input data
- feature selection algorithms
- feature extraction
- subspace learning
- text classification
- machine learning
- high dimensional data sets
- clustering high dimensional data
- model selection
- neural network