On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications.
Sayan BandyapadhyayFedor V. FominKirill SimonovPublished in: CoRR (2020)
Keyphrases
- euclidean space
- riemannian manifolds
- metric space
- data points
- wide class
- multi dimensional scaling
- distance metric
- geodesic distance
- clustering algorithm
- euclidean distance
- higher dimensional
- shape analysis
- k means
- pairwise distances
- vector space
- distance function
- square root
- computer vision
- dimensional euclidean space
- hilbert space
- distance measure
- finite dimensional
- spectral clustering
- multi dimensional
- semi supervised
- feature extraction
- data sets