Scalable Nearest Neighbor Algorithms for High Dimensional Data.
Marius MujaDavid G. LowePublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2014)
Keyphrases
- high dimensional data
- nearest neighbor
- high dimensional spaces
- high dimensional
- high dimensionality
- k nearest neighbor
- data points
- high dimensional data sets
- knn
- dimensionality reduction
- low dimensional
- manifold learning
- subspace clustering
- original data
- dimensional data
- similarity search
- learning algorithm
- high dimensional datasets
- data structure
- nearest neighbor search
- dimension reduction
- training set
- nonlinear dimensionality reduction
- high dimensions
- distance function
- clustering high dimensional data
- input space
- linear discriminant analysis
- data sets
- index structure
- input data
- data analysis
- low rank
- lower dimensional
- sparse representation
- pattern recognition
- real world