Keyphrases
- high dimensional data
- input space
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensionality
- unsupervised learning
- data analysis
- subspace clustering
- data sets
- data points
- high dimensions
- similarity search
- high dimensional
- feature space
- low rank
- kernel matrix
- semi supervised
- original data
- dimension reduction
- clustering high dimensional data
- kernel methods
- kernel function
- dimensional data
- input data
- lower dimensional
- manifold learning
- high dimensional spaces
- high dimensional datasets
- sparse representation
- supervised learning
- linear discriminant analysis
- nonlinear dimensionality reduction
- underlying manifold
- neural network
- euclidean space
- knn
- feature vectors
- training data
- clustering algorithm