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>.
