Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search.
Simon FongZhuang YanRui TangXin-She YangSuash DebPublished in: J. Appl. Math. (2013)
Keyphrases
- high dimensional data
- feature set
- dimensionality reduction
- high dimensional
- low dimensional
- feature selection
- feature subset
- nearest neighbor
- high dimensions
- random forest
- data points
- high dimensionality
- subspace clustering
- feature vectors
- feature space
- feature extraction
- data analysis
- classification accuracy
- data sets
- similarity search
- clustering high dimensional data
- exhaustive search
- linear discriminant analysis
- class labels
- manifold learning
- nonlinear dimensionality reduction
- extracted features
- high dimensional datasets
- high dimensional spaces
- neural network
- dimensionality reduction methods
- dimensional data
- selected features
- kernel function
- nearest neighbor search
- principal component analysis
- pattern recognition
- multi dimensional