'CluReAL' is a port of the Python implementation of the algorithm 'CluReAL.v2', which is designed to improve an existing clustering solution by splitting multimodal clusters, merging akin clusters, and marking tiny or low-density clusters as outliers (noise). Additionally, symbolic key ideograms can be created to interpret clusters in high-dimensional space. The approach is described in detail in the article by Iglesias et al. (2021) <https://doi.org/10.1007/s41060-021-00275-z>.
Package details |
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Maintainer | |
License | GPL (>= 3) |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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