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kml  

K-Means for Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kml", "2.5.0")



Attach the package and use:
library("kml")
Maintained by
Christophe Genolini
[Scholar Profile | Author Map]
First Published: 2008-06-18
Latest Update: 2023-12-13
Description:
An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.
How to cite:
Christophe Genolini (2008). kml: K-Means for Longitudinal Data. R package version 2.5.0, https://cran.r-project.org/web/packages/kml. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.9.0 (2008-06-18 13:09), 0.9.2 (2009-02-19 19:23), 1.0 (2009-11-13 11:43), 1.1.1 (2010-03-01 16:03), 1.1.2 (2010-05-04 08:55), 1.1.3 (2011-07-28 15:03), 1.1 (2010-02-18 17:53), 2.0 (2012-03-28 13:09), 2.1.2 (2012-11-19 07:12), 2.1 (2012-08-20 20:28), 2.2 (2014-03-24 11:07), 2.3.1 (2015-06-04 17:33), 2.3 (2015-05-20 15:39), 2.4.1 (2016-02-16 23:12), 2.4.6.1 (2023-12-13 18:27), 2.4.6 (2023-02-13 16:30), 2.4 (2015-08-18 15:46)
Other packages that cited kml R package
View kml citation profile
Other R packages that kml depends, imports, suggests or enhances
Complete documentation for kml
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