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.

kmodR: K-Means with Simultaneous Outlier Detection

An implementation of the 'k-means–' algorithm proposed by Chawla and Gionis, 2013 in their paper, "k-means– : A unified approach to clustering and outlier detection. SIAM International Conference on Data Mining (SDM13)", <doi:10.1137/1.9781611972832.21> and using 'ordering' described by Howe, 2013 in the thesis, Clustering and anomaly detection in tropical cyclones". Useful for creating (potentially) tighter clusters than standard k-means and simultaneously finding outliers inexpensively in multidimensional space.

Version: 0.2.0
Suggests: testthat
Published: 2022-05-12
DOI: 10.32614/CRAN.package.kmodR
Author: David Charles Howe ORCID iD [aut, cre]
Maintainer: David Charles Howe <kmodR at edgecondition.com>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: kmodR results

Documentation:

Reference manual: kmodR.pdf

Downloads:

Package source: kmodR_0.2.0.tar.gz
Windows binaries: r-devel: kmodR_0.2.0.zip, r-release: kmodR_0.2.0.zip, r-oldrel: kmodR_0.2.0.zip
macOS binaries: r-release (arm64): kmodR_0.2.0.tgz, r-oldrel (arm64): kmodR_0.2.0.tgz, r-release (x86_64): kmodR_0.2.0.tgz, r-oldrel (x86_64): kmodR_0.2.0.tgz
Old sources: kmodR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=kmodR 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.