Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Kun, Jeremy
and
Reyzin, Lev
2014.
Mathematical Foundations of Computer Science 2014.
Vol. 8635,
Issue. ,
p.
517.
Cohen-Addad, Vincent
Klein, Philip N.
and
Mathieu, Claire
2016.
Local Search Yields Approximation Schemes for k-Means and k-Median in Euclidean and Minor-Free Metrics.
p.
353.
Kushagra, Shrinu
Samadi, Samira
and
Ben-David, Shai
2016.
Algorithmic Learning Theory.
Vol. 9925,
Issue. ,
p.
339.
Cohen-Addad, Vincent
and
Schwiegelshohn, Chris
2017.
On the Local Structure of Stable Clustering Instances.
p.
49.
Strąk, Łukasz
Skinderowicz, Rafał
and
Boryczka, Urszula
2018.
Adjustability of a discrete particle swarm optimization for the dynamic TSP.
Soft Computing,
Vol. 22,
Issue. 22,
p.
7633.
Manthey, Bodo
and
Tijink, Matthijs B.
2018.
Perturbation resilience for the facility location problem.
Operations Research Letters,
Vol. 46,
Issue. 2,
p.
215.
Moitra, Ankur
2018.
Algorithmic Aspects of Machine Learning.
Buhmann, J.M.
Gronskiy, A.Y.
Mihalák, M.
Pröger, T.
Šrámek, R.
and
Widmayer, P.
2018.
Robust optimization in the presence of uncertainty: A generic approach.
Journal of Computer and System Sciences,
Vol. 94,
Issue. ,
p.
135.
Meilă, Marina
2019.
Good (K-means) clusterings are unique (up to small perturbations).
Journal of Multivariate Analysis,
Vol. 173,
Issue. ,
p.
1.
Cohen-Addad, Vincent
Klein, Philip N.
and
Mathieu, Claire
2019.
Local Search Yields Approximation Schemes for $k$-Means and $k$-Median in Euclidean and Minor-Free Metrics.
SIAM Journal on Computing,
Vol. 48,
Issue. 2,
p.
644.
Cohen-addad, Vincent
Kanade, Varun
Mallmann-trenn, Frederik
and
Mathieu, Claire
2019.
Hierarchical Clustering.
Journal of the ACM,
Vol. 66,
Issue. 4,
p.
1.
Sanyal, Deepayan
and
Das, Swagatam
2019.
On semi-supervised active clustering of stable instances with oracles.
Information Processing Letters,
Vol. 151,
Issue. ,
p.
105833.
Roughgarden, Tim
2019.
Beyond worst-case analysis.
Communications of the ACM,
Vol. 62,
Issue. 3,
p.
88.
Velednitsky, Mark
2019.
Combinatorial Optimization and Applications.
Vol. 11949,
Issue. ,
p.
485.
Balcan, Maria-Florina
Haghtalab, Nika
and
White, Colin
2020.
k
-center Clustering under Perturbation Resilience
.
ACM Transactions on Algorithms,
Vol. 16,
Issue. 2,
p.
1.
Peng, Pan
and
Yoshida, Yuichi
2020.
Average Sensitivity of Spectral Clustering.
p.
1132.
Kłopotek, Mieczysław A.
2020.
An Aposteriorical Clusterability Criterion for k-Means++ and Simplicity of Clustering.
SN Computer Science,
Vol. 1,
Issue. 2,
León, Jared
Chullo-Llave, Boris
Enciso-Rodas, Lauro
and
Soncco-Álvarez, José Luis
2020.
A Multi-Objective Optimization Algorithm for Center-Based Clustering.
Electronic Notes in Theoretical Computer Science,
Vol. 349,
Issue. ,
p.
49.
Kłopotek, Mieczysław A.
2020.
Machine learning friendly set version of Johnson–Lindenstrauss lemma.
Knowledge and Information Systems,
Vol. 62,
Issue. 5,
p.
1961.
Paradise, Orr
2021.
Smooth and Strong PCPs.
computational complexity,
Vol. 30,
Issue. 1,