Euclidean distance compression via deep random features.
Brett LerouxLuis RademacherPublished in: CoRR (2024)
Keyphrases
- euclidean distance
- feature vectors
- distance function
- similarity measure
- image space
- distance metric
- mahalanobis distance
- feature space
- distance measure
- euclidean space
- cosine distance
- dimensionality reduction
- manhattan distance
- similarity measurement
- image compression
- data points
- dynamic time warping
- feature extraction
- high dimensional spaces
- data sets
- information content
- fuzzy c means
- decision trees
- neural network