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Christian Sohler
Christian Sohler
Professor for Algorithmic Data Analysis, University of Cologne
Verified email at uni-koeln.de
Title
Cited by
Cited by
Year
Turning Big Data Into Tiny Data: Constant-Size Coresets for -Means, PCA, and Projective Clustering
D Feldman, M Schmidt, C Sohler
SIAM Journal on Computing 49 (3), 601-657, 2020
6242020
Streamkm++ a clustering algorithm for data streams
MR Ackermann, M Märtens, C Raupach, K Swierkot, C Lammersen, ...
Journal of Experimental Algorithmics (JEA) 17, 2.1-2.30, 2012
4962012
Counting triangles in data streams
LS Buriol, G Frahling, S Leonardi, A Marchetti-Spaccamela, C Sohler
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on …, 2006
3082006
A PTAS for k-means clustering based on weak coresets
D Feldman, M Monemizadeh, C Sohler
Proceedings of the twenty-third annual symposium on Computational geometry …, 2007
2262007
Coresets in dynamic geometric data streams
G Frahling, C Sohler
Proceedings of the thirty-seventh annual ACM symposium on Theory of …, 2005
1762005
A fast k-means implementation using coresets
G Frahling, C Sohler
Proceedings of the twenty-second annual symposium on Computational geometry …, 2006
1742006
Clustering for metric and nonmetric distance measures
MR Ackermann, J Blömer, C Sohler
ACM Transactions on Algorithms (TALG) 6 (4), 1-26, 2010
1662010
Randomized pursuit-evasion in graphs
M Adler, H Räcke, N Sivadasan, C Sohler, B Vöcking
Combinatorics, Probability and Computing 12 (3), 225-244, 2003
1642003
Fair Coresets and Streaming Algorithms for Fair k-means
M Schmidt, C Schwiegelshohn, C Sohler
Approximation and Online Algorithms: 17th International Workshop, WAOA 2019 …, 2020
154*2020
Sampling in dynamic data streams and applications
G Frahling, P Indyk, C Sohler
Proceedings of the twenty-first annual symposium on Computational geometry …, 2005
1512005
Every property of hyperfinite graphs is testable
I Newman, C Sohler
Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011
1242011
Theoretical Analysis of the k-Means Algorithm – A Survey
J Blömer, C Lammersen, M Schmidt, C Sohler
Algorithm Engineering: Selected Results and Surveys, 81-116, 2016
1232016
Coresets and sketches for high dimensional subspace approximation problems
D Feldman, M Monemizadeh, C Sohler, DP Woodruff
Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010
1122010
Testing expansion in bounded-degree graphs
A Czumaj, C Sohler
Combinatorics, Probability and Computing 19 (5-6), 693-709, 2010
1082010
Analysis of agglomerative clustering
MR Ackermann, J Blömer, D Kuntze, C Sohler
Algorithmica 69, 184-215, 2014
1062014
On coresets for logistic regression
A Munteanu, C Schwiegelshohn, C Sohler, D Woodruff
Advances in Neural Information Processing Systems 31, 2018
1022018
Subspace embeddings for the L1-norm with applications
C Sohler, DP Woodruff
Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011
942011
BICO: BIRCH Meets Coresets for k-Means Clustering
H Fichtenberger, M Gillé, M Schmidt, C Schwiegelshohn, C Sohler
Algorithms–ESA 2013: 21st Annual European Symposium, Sophia Antipolis …, 2013
932013
Approximating the weight of the euclidean minimum spanning tree in sublinear time
A Czumaj, F Ergün, L Fortnow, A Magen, I Newman, R Rubinfeld, ...
SIAM Journal on Computing 35 (1), 91-109, 2005
93*2005
Strong coresets for k-median and subspace approximation: Goodbye dimension
C Sohler, DP Woodruff
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
922018
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