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ODMeans  

OD-Means: k-Means for Origin-Destination
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ODMeans", "0.2.1")



Attach the package and use:
library("ODMeans")
Maintained by
Sebastian Moreno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-01
Latest Update: 2024-03-18
Description:
OD-means is a hierarchical adaptive k-means algorithm based on origin-destination pairs. In the first layer of the hierarchy, the clusters are separated automatically based on the variation of the within-cluster distance of each cluster until convergence. The second layer of the hierarchy corresponds to the sub clustering process of small clusters based on the distance between the origin and destination of each cluster.
How to cite:
Sebastian Moreno (2022). ODMeans: OD-Means: k-Means for Origin-Destination. R package version 0.2.1, https://cran.r-project.org/web/packages/ODMeans. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-02-01 10:20), 0.2.0 (2024-01-10 22:23)
Other packages that cited ODMeans R package
View ODMeans citation profile
Other R packages that ODMeans depends, imports, suggests or enhances
Complete documentation for ODMeans
Functions, R codes and Examples using the ODMeans R package
Some associated functions: ODMeansSampleData . dinamic_clusters . hierarchical_clusters . od_means . 
Some associated R codes: ODMeansSampleData.R . dinamic_clusters.R . hierarchical_clusters.R . od_means.R .  Full ODMeans package functions and examples
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