Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality.
Steven N. HartThomas E. TavolaraPublished in: CoRR (2024)
Keyphrases
- distance measure
- distance metric
- distance function
- euclidean distance
- high quality
- geodesic distance
- intrinsic dimension
- higher quality
- dissimilarity measure
- triangle inequality
- quality measures
- vector space
- data hiding
- hausdorff distance
- data sets
- quality assessment
- metric learning
- computationally efficient
- feature vectors
- quality metrics