Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization.
Stephen L. FranceJ. Douglas CarrollHui XiongPublished in: Inf. Sci. (2012)
Keyphrases
- distance metric
- nearest neighborhood
- high dimensional
- nearest neighbor
- data points
- distance function
- similarity search
- euclidean distance
- low dimensional
- distance metric learning
- dimensionality reduction
- metric learning
- k nearest neighbor
- distance measure
- high dimensional data
- knn
- spatial interpolation
- image compression
- dimension reduction
- preprocessing
- feature space
- euclidean space
- data sets
- labeled data
- kernel function
- image features
- parameter space
- pattern recognition
- image processing