Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data.
Milos RadovanovicAlexandros NanopoulosMirjana IvanovicPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- high dimensional data
- nearest neighbor
- high dimensional spaces
- low dimensional
- lower dimensional
- input space
- data points
- high dimensional
- k nearest neighbor
- high dimensionality
- high dimensions
- knn
- dimensional data
- dimensionality reduction
- dimension reduction
- subspace clustering
- original data
- similarity search
- data distribution
- clustering high dimensional data
- data sets
- sparse representation
- distance function
- text data
- manifold learning
- high dimensional datasets
- index structure
- euclidean space
- nonlinear dimensionality reduction
- higher dimensional
- linear discriminant analysis
- subspace learning
- nearest neighbor search
- high dimensional data sets
- feature selection
- decision boundary
- feature space
- principal component analysis
- computer vision
- latent space
- locality sensitive hashing
- feature extraction
- small sample size
- database