A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data.
Rui ZhuZiyu WangNaoya SogiKazuhiro FukuiJing-Hao XuePublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- high dimensional data
- classification method
- nearest neighbor
- dimensionality reduction
- data sets
- dimension reduction
- classification algorithm
- data analysis
- data points
- neural network
- model selection
- low dimensional
- computer vision
- input data
- supervised learning
- feature space
- cross validation
- pattern recognition
- support vector
- data distribution
- learning models