Coreset Construction
Coreset Construction is a parameterized algorithmic technique that, within the broader class of data reduction methods, specifically involves the design of a weighted subset of data points—constructed to preserve key structural properties of the original dataset with respect to a given optimization problem, parameterized by solution quality and computational efficiency—thereby enabling scalable approximation algorithms in high-dimensional or large-scale settings.
116
Publications
6.5K
Citations
210
Authors
109
Institutions
Publications per year
2017–2026
56
Parents
116
On coresets for k-means and k-median clustering
Sariel Har-Peled, Soham Mazumdar · 2004 · 502 citations
A unified framework for approximating and clustering data
Dan Feldman, Michael Langberg · 2011 · 333 citations · Full text
Marcel R. Ackermann, Marcus Märtens, Christoph Raupach et al. · ACM Journal of Experimental Algorithmics · 2012 · 295 citations
Mihai Bâdoiu, Kenneth L. Clarkson · Computational Geometry · 2007 · 179 citations
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109
ETH Zurich
Zurich, Switzerland
10 h-index
21 publications
1.1K citations
TU Dortmund University
Dortmund, Germany
10 h-index
14 publications
888 citations
University of Haifa
Haifa, Israel
7 h-index
13 publications
232 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
12 publications
731 citations

Johns Hopkins University
Baltimore, United States
6 h-index
13 publications
227 citations

Paderborn University
Paderborn, Germany
5 h-index
11 publications
1.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
10 publications
1.8K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
120 citations
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Repository · 26 publications · 938 citations
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Repository · 3 publications · 122 citations
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Conference · 3 publications · 124 citations
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2 publications · 274 citations
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JEA · 2 publications · 457 citations
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