Learning distance to subspace for the nearest subspace methods in high-dimensional data classification.
Rui ZhuMingzhi DongJing-Hao XuePublished in: Inf. Sci. (2019)
Keyphrases
- high dimensional data
- subspace methods
- lower dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensionality
- high dimensional
- linear discriminant analysis
- subspace clustering
- feature extraction
- data points
- dimension reduction
- feature space
- clustering high dimensional data
- data sets
- learning algorithm
- data analysis
- pattern recognition
- kernel based nonlinear
- decision trees
- similarity search
- subspace analysis
- subspace learning
- computer vision
- euclidean distance
- machine learning
- classification accuracy
- linear subspace
- input space
- neural network
- principal component analysis
- support vector machine
- support vector
- sparse representation
- clustering method
- image classification
- distance measure
- training set
- feature selection