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>.

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 <csmatyi at protonmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	matrixcut results

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