Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
Nicole Dalia CiliaClaudio De StefanoFrancesco FontanellaPublished in: ICIC (1) (2020)
Keyphrases
- high dimensional data
- variable length
- high dimensionality
- dimensionality reduction
- feature selection
- fixed length
- nearest neighbor
- mutation operator
- low dimensional
- dimension reduction
- subspace clustering
- high dimensional
- data points
- clustering high dimensional data
- data analysis
- data sets
- n gram
- evolutionary algorithm
- feature extraction
- knn
- manifold learning
- genetic algorithm
- crossover operator
- human motion
- principal component analysis
- high dimensional spaces
- feature space
- text classification
- bitstream
- pattern recognition
- face recognition
- differential evolution
- image processing
- feature vectors