The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

skm: Selective k-Means

Algorithms for solving selective k-means problem, which is defined as finding k rows in an m x n matrix such that the sum of each column minimal is minimized. In the scenario when m == n and each cell value in matrix is a valid distance metric, this is equivalent to a k-means problem. The selective k-means extends the k-means problem in the sense that it is possible to have m != n, often the case m < n which implies the search is limited within a small subset of rows. Also, the selective k-means extends the k-means problem in the sense that the instance in row set can be instance not seen in the column set, e.g., select 2 from 3 internet service provider (row) for 5 houses (column) such that minimize the overall cost (cell value) - overall cost is the sum of the column minimal of the selected 2 service provider.

Version: 0.1.5.4
Depends: R (≥ 3.0.0), magrittr, data.table
Imports: methods, plyr, Rcpp (≥ 0.12.5), RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: knitr, rmarkdown
Published: 2017-01-23
DOI: 10.32614/CRAN.package.skm
Author: Guang Yang
Maintainer: Guang Yang <gyang274 at gmail.com>
BugReports: http://github.com/gyang274/skm/issues
License: MIT + file LICENSE
URL: http://github.com/gyang274/skm
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: skm results

Documentation:

Reference manual: skm.pdf
Vignettes: skm: selective k-means.

Downloads:

Package source: skm_0.1.5.4.tar.gz
Windows binaries: r-devel: skm_0.1.5.4.zip, r-release: skm_0.1.5.4.zip, r-oldrel: skm_0.1.5.4.zip
macOS binaries: r-release (arm64): skm_0.1.5.4.tgz, r-oldrel (arm64): skm_0.1.5.4.tgz, r-release (x86_64): skm_0.1.5.4.tgz, r-oldrel (x86_64): skm_0.1.5.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=skm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.