k-NS: A Classifier by the Distance to the Nearest Subspace.
Yiguang LiuShuzhi Sam GeChunguang LiZhisheng YouPublished in: IEEE Trans. Neural Networks (2011)
Keyphrases
- feature space
- k nearest
- euclidean distance
- nearest point
- training data
- nearest neighbor
- intra class
- training samples
- distance measure
- feature selection
- low dimensional
- nearest neighbour
- classification process
- distance function
- high dimensional data
- test sample
- decision trees
- learning algorithm
- support vector machine
- data points
- nearest neighbor classifier
- training set
- wireless sensor networks
- linear classifiers
- subspace clustering
- feature set
- subspace learning
- support vector
- hamming distance
- linear subspace
- distance metric
- classification method
- feature extraction
- classification rate
- classification scheme
- classification algorithm
- knn
- neural network
- k nearest neighbor