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.
- Version0.0.1
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/24/2023
Team
Matthew Cserhati
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- Depends1 package
- Imports3 packages