Gene subset selection in kernel-induced feature space.
Satoshi NiijimaSatoru KuharaPublished in: Pattern Recognit. Lett. (2006)
Keyphrases
- rough sets
- kernel induced
- subset selection
- feature space
- feature selection
- high dimensionality
- microarray
- input space
- dimensionality reduction
- hill climbing
- high dimensional
- feature vectors
- kernel function
- support vector machine
- feature extraction
- image representation
- data analysis
- training samples
- low dimensional
- machine learning
- data points
- fuzzy c means
- high dimensional feature space
- dimension reduction
- kernel matrix
- feature set
- kernel methods
- principal component analysis
- training set
- search algorithm
- genetic algorithm
- linear discriminant analysis
- original data
- euclidean distance
- search space
- objective function
- image processing