Scalable k -Means Clustering via Lightweight Coresets

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Author
Bachem, Olivier
Lucic, Mario
Krause, Andreas
Date
2018
Type
    Conference Paper
Publication status
published
External links
Book title
KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Pages / Article No.
1119 - 1127
Publisher
ACM
Event
24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018), London, United Kingdom, August 19 - 23, 2018
Subject
Clustering; Coresets; Big data; Distributed algorithms
Organisational unit
03908 - Krause, Andreas / Krause, Andreas  
Funding
167212 - Scaling Up by Scaling Down: Big ML via Small Coresets (SNF)
307036 - Large-scale Adaptive Sensing, Learning and Decision Making: Theory and Applications (EC)
Notes
Conference lecture on 20 August 2018
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Citations
Cited 35 times in Web of Science
Cited 43 times in Scopus
ETH Bibliography
yes
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