Package: matrixcut 0.0.1
Matthew Cserhati
matrixcut: Determines Clustering Threshold Based on Similarity Values
The user must supply a matrix filled with similarity values. The software will search for significant differences between similarity values at different hierarchical levels. The algorithm will return a Loess-smoothed plot of the similarity values along with the inflection point, if there are any. There is the option to search for an inflection point within a specified range. The package also has a function that will return the matrix components at a specified cutoff. References: Mullner. <arxiv:1109.2378>; Cserhati, Carter. (2020, Journal of Creation 34(3):41-50), <https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf>.
Authors:
matrixcut_0.0.1.tar.gz
matrixcut_0.0.1.tar.gz(r-4.5-noble)matrixcut_0.0.1.tar.gz(r-4.4-noble)
matrixcut_0.0.1.tgz(r-4.4-emscripten)matrixcut_0.0.1.tgz(r-4.3-emscripten)
matrixcut.pdf |matrixcut.html✨
matrixcut/json (API)
# Install 'matrixcut' in R: |
install.packages('matrixcut', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:166ead0463. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 21 2024 |
R-4.5-linux | NOTE | Dec 21 2024 |
Exports:componentplotcutoffplotmatrixcut
Dependencies:clicpp11glueigraphinflectionlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs