Fast and memory-efficient scRNA-seq k -means clustering with various distances-Reference-Cited by-同舟云学术

Fast and memory-efficient scRNA-seq k -means clustering with various distances

Published:2021-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
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Author:

Baker Daniel N.¹,Dyjack Nathan²,Braverman Vladimir¹,Hicks Stephanie C.²,Langmead Ben¹

Affiliation:

1. Johns Hopkins University

2. Johns Hopkins University, Bloomberg

Funder

NIH (National Institutes of Health)

Chan Zuckerberg Initiative

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459930.3469523

Reference39 articles.

1. Daniel Baker. 2008. libsimdsampling. http://github.com/dnbaker/libsimdsampling. [Online; accessed 7 Feb 2021]. Daniel Baker. 2008. libsimdsampling. http://github.com/dnbaker/libsimdsampling. [Online; accessed 7 Feb 2021].

2. Distributed k-means and k-median Clustering on General Topologies;Balcan Maria-Florina F;Advances in Neural Information Processing Systems,2013

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