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), <>.

Getting started

Package details

AuthorMatthew Cserhati [aut, cre] (<>)
MaintainerMatthew Cserhati <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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matrixcut documentation built on March 31, 2023, 10:26 p.m.