matrixcut: Determines Clustering Threshold Based on Similarity Values (original) (raw)
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>.
| Version: | 0.0.1 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | igraph, stats, inflection |
| Published: | 2023-03-24 |
| DOI: | 10.32614/CRAN.package.matrixcut |
| Author: | Matthew Cserhati  [aut, cre] |
| Maintainer: | Matthew Cserhati |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | matrixcut results |
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