R Observatory: Metrics for kmcudaR version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-11-05. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 1.1.0, its last release before removal.

kmcudaR

1.1.0Package record

'Yingyang' K-Means and K-NN using NVIDIA CUDA

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Charles DetermanCRAN page ↗

K-means implementation is base on "Yingyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup". While it introduces some overhead and many conditional clauses which are bad for CUDA, it still shows 1.6-2x speedup against the Lloyd algorithm. K-nearest neighbors employ the same triangle inequality idea and require precalculated centroids and cluster assignments, similar to the flattened ball tree.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/kmcudaR/kmcudaR_1.1.0.tar.gz"
pkgFile <- "kmcudaR_1.1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

kmcudaR Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.3.2

Imports (1)

Rcpp

LinkingTo (2)

Rcpp RcppEigen

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Vadim Markovtsev

Contributor

Charles Determan

Contributor

Maintainer since 1.0.0 (2017)

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2021-11-05
check problems were not corrected in time
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.1.0
record
2019-03-22 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.0.0
record
2017-05-03
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-05-03
Total releases: 2 / 9 yrs
License: Apache License (>= 2.0) | file LICENSE · relicensed from MIT + file LICENSE in 1.1.0
Minimum R: ≥ 3.3.2

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kmcudaR")

Format

Markovtsev, V., & Determan, C. (n.d.). kmcudaR: 'Yingyang' K-Means and K-NN using NVIDIA CUDA (Version 1.1.0) [Computer software]. Retrieved October 25, 2026, from https://CRAN.R-project.org/package=kmcudaR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for kmcudaR version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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