nFCA: Numerical Formal Concept Analysis for Systematic Clustering

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

Documentation:

Reference manual:

nFCA.pdf

Downloads:

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 (arm64): nFCA_0.3.tgz, r-oldrel (arm64): nFCA_0.3.tgz, r-release (x86_64): nFCA_0.3.tgz, r-oldrel (x86_64): nFCA_0.3.tgz

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