Numerical Formal Concept Analysis (nFCA) is a modern unsupervised learning tool for analyzing general numerical data. Given input data, this R package nFCA outputs two nFCA graphs: a H-graph and an I-graph that reveal systematic, hierarchical clustering and inherent structure of the data.
| Version: | 0.3 |
| Published: | 2015-02-15 |
| Author: | Junheng Ma, Jiayang Sun, and Guo-Qiang Zhang |
| Maintainer: | Junheng Ma <jxm216 at case.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| SystemRequirements: | Ruby, Graphviz |
| CRAN checks: | nFCA results |
| Reference manual: | nFCA.pdf |
| Package source: | nFCA_0.3.tar.gz |
| Windows binaries: | r-devel: nFCA_0.3.zip, r-release: nFCA_0.3.zip, r-oldrel: nFCA_0.3.zip |
| macOS binaries: | r-release: nFCA_0.3.tgz, r-oldrel: nFCA_0.3.tgz |
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