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)", 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.

Getting started

Package details

AuthorDavid Charles Howe [aut, cre]
MaintainerDavid Charles Howe <>
Package repositoryView on CRAN
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kmodR documentation built on May 2, 2019, 2:50 p.m.