We consider the approximability of center-based clustering problems wher...
Correlation clustering is a ubiquitous paradigm in unsupervised machine
...
We study data clustering problems with ℓ_p-norm objectives (e.g.
k-Media...
In the Priority k-Center problem, the input consists of a metric space
(...
In the non-uniform k-center problem, the objective is to cover points in...
We study clustering problems under the lens of algorithmic fairness
ins...
We study the F-center problem with outliers: given a metric space
(X,d),...