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kmodR  

K-Means with Simultaneous Outlier Detection
View on CRAN: Click here


Download and install kmodR package within the R console
Install from CRAN:
install.packages("kmodR")

Install from Github:
library("remotes")
install_github("cran/kmodR")

Install by package version:
library("remotes")
install_version("kmodR", "0.2.0")



Attach the package and use:
library("kmodR")
Maintained by
David Charles Howe
[Scholar Profile | Author Map]
First Published: 2015-03-26
Latest Update: 2022-05-12
Description:
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.
How to cite:
David Charles Howe (2015). kmodR: K-Means with Simultaneous Outlier Detection. R package version 0.2.0, https://cran.r-project.org/web/packages/kmodR. Accessed 10 Jan. 2025.
Previous versions and publish date:
0.1.0 (2015-03-26 10:51)
Other packages that cited kmodR R package
View kmodR citation profile
Other R packages that kmodR depends, imports, suggests or enhances
Complete documentation for kmodR
Functions, R codes and Examples using the kmodR R package
Some associated functions: kmod . 
Some associated R codes: kmod.R .  Full kmodR package functions and examples
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