Feature Selection for High-Dimensional Data: The Issue of Stability.
Barbara PesPublished in: WETICE (2017)
Keyphrases
- high dimensional data
- dimensionality reduction
- feature selection
- high dimensionality
- dimension reduction
- low dimensional
- high dimensional
- nearest neighbor
- high dimensions
- subspace clustering
- data sets
- data analysis
- gene expression data
- data distribution
- manifold learning
- high dimensional spaces
- similarity search
- data points
- original data
- small sample size
- linear discriminant analysis
- lower dimensional
- text categorization
- locally linear embedding
- missing values
- sparse representation
- feature space
- support vector
- dimensional data
- feature extraction
- preprocessing step
- text data
- variable selection
- microarray data
- clustering high dimensional data
- feature selection algorithms
- selected features
- high dimensional datasets
- subspace learning
- input data
- informative features
- machine learning
- input space
- computer vision
- learning algorithm
- principal component analysis
- database
- neural network
- high dimensional data sets
- input image
- support vector machine