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

Downloads:

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
OS X El Capitan binaries: r-release: nFCA_0.3.tgz
OS X Mavericks binaries: r-oldrel: nFCA_0.3.tgz

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