K-Means with Simultaneous Outlier Detection R package kmodR version 0.2.0 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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. Software Suggests: testthat David Charles Howe <kmodR@edgecondition.com> Comprehensive R Archive Network (CRAN) David Charles Howe [aut, cre] (ORCID: <https://orcid.org/0000-0003-4942-1300>) GPL-3 2022-05-12 application/tgz https://CRAN.R-project.org/package=kmodR doi:10.32614/CRAN.package.kmodR