A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data.
Yoisel CamposRoberto EstradaCarlos MorellFrancesc J. FerriPublished in: CIARP (1) (2013)
Keyphrases
- high dimensional data
- feature set
- decomposition method
- classifier systems
- dimensionality reduction
- low dimensional
- feature selection
- nearest neighbor
- high dimensional
- feature space
- feature extraction
- subspace clustering
- high dimensionality
- data points
- classification accuracy
- learning classifier systems
- genetic algorithm
- data sets
- real valued
- rule based systems
- similarity search
- dimension reduction
- feature vectors
- evolutionary algorithm
- training set
- data analysis
- selected features
- kernel function
- sparse representation
- feature subset
- database
- clustering high dimensional data
- feature selection algorithms
- class labels
- k nearest neighbor
- input data
- image processing
- dimensionality reduction methods
- computer vision
- real world