Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
Nicole Dalia CiliaClaudio De StefanoFrancesco FontanellaAlessandra Scotto di FrecaPublished in: EvoApplications (2019)
Keyphrases
- high dimensional data
- variable length
- dimensionality reduction
- high dimensionality
- feature selection
- fixed length
- dimension reduction
- statistical dependencies
- low dimensional
- nearest neighbor
- high dimensional
- data points
- subspace clustering
- data sets
- input space
- data analysis
- original data
- similarity search
- n gram
- high dimensional spaces
- nonlinear dimensionality reduction
- clustering high dimensional data
- linear discriminant analysis
- manifold learning
- input data
- lower dimensional
- high dimensional datasets
- feature space
- high dimensional data sets
- bitstream
- dimensional data
- support vector
- feature extraction
- text classification
- pattern recognition
- neural network