Package: Rwclust 0.1.0
Rwclust: Random Walk Clustering on Weighted Graphs
Implements the random walk clustering algorithm for weighted graphs as found in Harel and Koren (2001) <https://link.springer.com/chapter/10.1007/3-540-45294-X_3>.
Authors:
Rwclust_0.1.0.tar.gz
Rwclust_0.1.0.zip(r-4.5)Rwclust_0.1.0.zip(r-4.4)Rwclust_0.1.0.zip(r-4.3)
Rwclust_0.1.0.tgz(r-4.4-any)Rwclust_0.1.0.tgz(r-4.3-any)
Rwclust_0.1.0.tar.gz(r-4.5-noble)Rwclust_0.1.0.tar.gz(r-4.4-noble)
Rwclust_0.1.0.tgz(r-4.4-emscripten)Rwclust_0.1.0.tgz(r-4.3-emscripten)
Rwclust.pdf |Rwclust.html✨
Rwclust/json (API)
NEWS
| # Install 'Rwclust' in R: |
| install.packages('Rwclust', repos = c('https://csprock.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/csprock/rwclust/issues
Last updated 2 years agofrom:013119c1ab. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generic helper for extracting adjacency matrix from rwclust object. | adjacency adjacency.default adjacency.rwclust |
| Apply similarity function to rows of a matrix | apply_similarity |
| Apply similarity function over edges of graph | compute_similarities |
| Compute transition matrix | compute_transition_matrix |
| Construct sparse matrix from weighted edgelist | create_weight_matrix |
| Example Graph 1 | example1 |
| Example Graph 2 | example2 |
| rwclust class constructor | new_rwclust |
| Generic plotting for rwclust object | plot.rwclust |
| Execute main algorithm loop | run_main_loop |
| Sharpen the edge weights of a weighted graph. | rwclust rwclust.data.frame rwclust.matrix |
| Update edge weights | update_weights |
