Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction.
Wei BianTianyi ZhouAleix M. MartínezGeorge BaciuDacheng TaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2014)
Keyphrases
- dimension reduction
- classification error
- nearest neighbor
- high dimensional data
- training set
- high dimensional
- training samples
- k nearest neighbor
- feature space
- low dimensional
- decision rules
- high dimensionality
- feature extraction
- knn
- principal component analysis
- data points
- linear discriminant analysis
- singular value decomposition
- generalization error
- class labels
- feature selection
- classification accuracy
- base classifiers
- decision trees
- cross validation
- unsupervised learning
- dimensionality reduction
- training data
- cluster analysis
- training examples
- image processing
- supervised learning
- active learning
- support vector machine
- sparse representation
- preprocessing
- neural network
- hyperparameters
- estimation error