Dimensionality reduction by minimizing nearest-neighbor classification error.
Mauricio VillegasRoberto ParedesPublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- classification error
- nearest neighbor
- dimensionality reduction
- training set
- high dimensional
- high dimensional data
- data points
- training samples
- k nearest neighbor
- feature space
- low dimensional
- knn
- generalization error
- classification accuracy
- class labels
- decision rules
- feature extraction
- data sets
- decision trees
- pattern recognition
- feature selection
- principal component analysis
- training examples
- active learning
- base classifiers
- estimation error
- probabilistic model
- semi supervised
- test data
- principal components
- hyperparameters
- feature vectors
- pairwise