Approximation Schemes for Capacitated Clustering in Doubling Metrics

12/19/2018
by   Vincent Cohen-Addad, et al.
0

Motivated by applications in redistricting, we consider the uniform capacitated k-median and uniform capacitated k-means problems in bounded doubling metrics. We provide the first QPTAS for both problems and the first PTAS for the uniform capacitated k-median problem for points in R^2 . This is the first improvement over the bicriteria QPTAS for capacitated k-median in low-dimensional Euclidean space of Arora, Raghavan, Rao [STOC 1998] (1 + ϵ-approximation, 1 + ϵ-capacity violation) and arguably the first polynomial-time approximation algorithm for a non-trivial metric.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/30/2022

On the Fixed-Parameter Tractability of Capacitated Clustering

We study the complexity of the classic capacitated k-median and k-means ...
research
12/20/2018

Near-Linear Time Approximation Schemes for Clustering in Doubling Metrics

We consider the classic Facility Location, k-Median, and k-Means problem...
research
02/22/2023

The Power of Uniform Sampling for k-Median

We study the power of uniform sampling for k-Median in various metric sp...
research
10/03/2021

TSP on manifolds

In this paper, we present a new approach of creating PTAS to the TSP pro...
research
04/11/2022

Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets

Motivated by data analysis and machine learning applications, we conside...
research
12/04/2022

Clustering Permutations: New Techniques with Streaming Applications

We study the classical metric k-median clustering problem over a set of ...
research
09/05/2022

The Power of Uniform Sampling for Coresets

Motivated by practical generalizations of the classic k-median and k-mea...

Please sign up or login with your details

Forgot password? Click here to reset