NN-Descent on High-Dimensional Data.
Brankica BraticMichael E. HouleVladimir KurbalijaVincent OriaMilos RadovanovicPublished in: WIMS (2018)
Keyphrases
- high dimensional data
- nearest neighbor
- knn
- neural network
- high dimensionality
- high dimensions
- high dimensional
- input space
- nearest neighbor search
- similarity search
- dimension reduction
- original data
- high dimensional spaces
- subspace clustering
- data points
- dimensionality reduction
- low dimensional
- manifold learning
- linear discriminant analysis
- clustering high dimensional data
- lower dimensional
- data distribution
- sparse representation
- data sets
- high dimensional data sets
- text data
- nonlinear dimensionality reduction
- training set
- dimensional data
- high dimensional datasets
- data analysis
- real world
- image processing
- query processing
- subspace learning
- data mining
- variable selection
- neural network model