The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns (2017) <arXiv:1606.08905>.
| Version: | 0.0-7 |
| Depends: | R (≥ 3.0), Rcpp (≥ 0.12.8) |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2020-01-16 |
| Author: | Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph] |
| Maintainer: | Disa Mhembere <disa at cs.jhu.edu> |
| BugReports: | https://github.com/flashxio/knor/issues |
| License: | Apache License 2.0 |
| URL: | https://github.com/neurodata/knorR |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make C++11, pthreads |
| Citation: | knor citation info |
| CRAN checks: | knor results |
| Reference manual: | knor.pdf |
| Package source: | knor_0.0-7.tar.gz |
| Windows binaries: | r-devel: knor_0.0-7.zip, r-release: knor_0.0-7.zip, r-oldrel: knor_0.0-7.zip |
| macOS binaries: | r-release: knor_0.0-7.tgz, r-oldrel: knor_0.0-7.tgz |
| Old sources: | knor archive |
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