A Hybrid Feature Selection Method Based on Symmetrical Uncertainty and Support Vector Machine for High-Dimensional Data Classification.
Yongjun PiaoKeun Ho RyuPublished in: ACIIDS (1) (2017)
Keyphrases
- support vector machine
- feature selection
- high dimensional data
- classification method
- dimension reduction
- support vector machine svm
- classification accuracy
- high dimensionality
- feature set
- dimensionality reduction
- classification algorithm
- regression problems
- input data
- low dimensional
- high dimensional
- support vector
- input space
- svm classifier
- feature space
- training samples
- similarity search
- clustering method
- neural network
- text classification
- image classification
- training set
- feature extraction
- data points
- feature vectors
- cross validation
- pairwise
- linear discriminant analysis
- training data
- feature subset
- computer vision
- data sets
- dimensionality reduction methods