Feature Selection for High-Dimensional Data Through Instance Vote Combining.
Lily ChamakuraGoutam SahaPublished in: COMAD/CODS (2020)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- feature selection
- dimension reduction
- low dimensional
- high dimensional
- nearest neighbor
- high dimensions
- similarity search
- subspace clustering
- data points
- original data
- data sets
- gene expression data
- data analysis
- feature space
- dimensional data
- missing values
- clustering high dimensional data
- data distribution
- text categorization
- nonlinear dimensionality reduction
- manifold learning
- input space
- linear discriminant analysis
- small sample size
- feature selection algorithms
- high dimensional datasets
- lower dimensional
- sparse representation
- pattern recognition
- support vector
- locally linear embedding
- neural network
- machine learning
- feature extraction
- subspace learning
- selected features
- text data
- principal component analysis
- microarray data
- microarray