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Rwclust  

Random Walk Clustering on Weighted Graphs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Rwclust", "0.1.0")



Attach the package and use:
library("Rwclust")
Maintained by
Carson Sprock
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-17
Latest Update: 2022-07-24
Description:
Implements the random walk clustering algorithm for weighted graphs as found in Harel and Koren (2001) .
How to cite:
Carson Sprock (2022). Rwclust: Random Walk Clustering on Weighted Graphs. R package version 0.1.0, https://cran.r-project.org/web/packages/Rwclust. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0.1 (2022-05-17 11:50)
Other packages that cited Rwclust R package
View Rwclust citation profile
Other R packages that Rwclust depends, imports, suggests or enhances
Complete documentation for Rwclust
Functions, R codes and Examples using the Rwclust R package
Some associated functions: adjacency . apply_similarity . compute_similarities . compute_transition_matrix . create_weight_matrix . example1 . example2 . new_rwclust . plot.rwclust . run_main_loop . rwclust . update_weights . 
Some associated R codes: data.R . matrix_functions.R . metric_utils.R . metrics.R . rwclust.R . user_input.R . utils.R .  Full Rwclust package functions and examples
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