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)", 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.

Documentation

Manual: kmodR.pdf
Vignette: None available.

Maintainer: David Charles Howe <kmodR at edgecondition.com>

Author(s): David Charles Howe*

Install package and any missing dependencies by running this line in your R console:

install.packages("kmodR")

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Package kmodR
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Version 0.1.0
Published 2015-03-26
License GPL-3
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NeedsCompilation no
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Package source kmodR_0.1.0.tar.gz