nFCA: Numerical Formal Concept Analysis for Systematic Clustering

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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.

Author
Junheng Ma, Jiayang Sun, and Guo-Qiang Zhang
Date of publication
2015-02-15 07:35:41
Maintainer
Junheng Ma <jxm216@case.edu>
License
GPL-2
Version
0.3

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Man pages

nfca
Numerical Formal Concept Analysis for Systematic Clustering

Files in this package

nFCA
nFCA/inst
nFCA/inst/extdata
nFCA/inst/extdata/graph00.txt
nFCA/inst/extdata/graph0.txt
nFCA/exec
nFCA/exec/multistagefca.rb
nFCA/NAMESPACE
nFCA/data
nFCA/data/nfca_example.RData
nFCA/R
nFCA/R/nfca.r
nFCA/MD5
nFCA/DESCRIPTION
nFCA/man
nFCA/man/nfca.Rd
nFCA/man/nfca_example.rd