The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
| Author: |
David Charles Howe
 [aut, cre] |
| Maintainer: |
David Charles Howe <kmodR at edgecondition.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
kmodR results |
Documentation:
Downloads:
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.
Health stats visible at Monitor.