On coresets for fair clustering in metric and Euclidean spaces and their applications.
Sayan BandyapadhyayFedor V. FominKirill SimonovPublished in: J. Comput. Syst. Sci. (2024)
Keyphrases
- euclidean space
- riemannian manifolds
- metric space
- data points
- distance metric
- euclidean distance
- multi dimensional scaling
- wide class
- clustering algorithm
- geodesic distance
- shape analysis
- higher dimensional
- distance function
- reproducing kernel hilbert space
- low dimensional
- square root
- dimensional euclidean space
- high dimensional data
- k means
- image analysis
- manifold learning
- spectral clustering
- finite dimensional
- hilbert space
- high dimensional
- tangent space
- data analysis