On coresets for fair clustering in metric and Euclidean spaces and their applications.

Sayan Bandyapadhyay Fedor V. Fomin Kirill Simonov

Published 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