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 [aut, cre]
Maintainer:	David Charles Howe <kmodR at edgecondition.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README, NEWS
In views:	AnomalyDetection
CRAN checks:	kmodR results

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