Determines Clustering Threshold Based on Similarity Values
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), .