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cs.DS2025
Fully Dynamic Euclidean k-Means
Sayan Bhattacharya, Martín Costa, Ermiya Farokhnejad +3
We consider the Euclidean -means clustering problem in a dynamic setting, where we have to explicitly maintain a solution (a set of centers) subje…
cs.DS2025
Local Search for Clustering in Almost-linear Time
Shaofeng H. -C. Jiang, Yaonan Jin, Jianing Lou +1
We propose the first \emph{local search} algorithm for Euclidean clustering that attains an -approximation in almost-linear time. Specifically, for Euclidean -Means, our a…
cs.DS2025
Coresets for Robust Clustering via Black-box Reductions to Vanilla Case
Shaofeng H. -C. Jiang, Jianing Lou
We devise -coresets for robust -Clustering with outliers through black-box reductions to vanilla case. Given an -coreset construction for vanilla clustering with s…