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matrixcut  

Determines Clustering Threshold Based on Similarity Values
View on CRAN: Click here


Download and install matrixcut package within the R console
Install from CRAN:
install.packages("matrixcut")

Install from Github:
library("remotes")
install_github("cran/matrixcut")

Install by package version:
library("remotes")
install_version("matrixcut", "0.0.1")



Attach the package and use:
library("matrixcut")
Maintained by
Matthew Cserhati
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-24
Latest Update: 2023-03-24
Description:
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. ; Cserhati, Carter. (2020, Journal of Creation 34(3):41-50), .
How to cite:
Matthew Cserhati (2023). matrixcut: Determines Clustering Threshold Based on Similarity Values. R package version 0.0.1, https://cran.r-project.org/web/packages/matrixcut. Accessed 03 Feb. 2025.
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Complete documentation for matrixcut
Functions, R codes and Examples using the matrixcut R package
Some associated functions: componentplot . cutoffplot . liliales . matrixcut . primates . xenarthra . 
Some associated R codes: componentplot.R . cutoffplot.R . data.R . matrixcut.R .  Full matrixcut package functions and examples
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