nFCA: Numerical Formal Concept Analysis for Systematic Clustering
Version 0.3

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.

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AuthorJunheng Ma, Jiayang Sun, and Guo-Qiang Zhang
Date of publication2015-02-15 07:35:41
MaintainerJunheng Ma <jxm216@case.edu>
LicenseGPL-2
Version0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("nFCA")

Man pages

nfca: Numerical Formal Concept Analysis for Systematic Clustering
nfca_example: Family Correlation Coefficient Data

Functions

nfca Man page Source code
nfca_example Man page

Files

inst
inst/extdata
inst/extdata/graph00.txt
inst/extdata/graph0.txt
exec
exec/multistagefca.rb
NAMESPACE
data
data/nfca_example.RData
R
R/nfca.r
MD5
DESCRIPTION
man
man/nfca.Rd
man/nfca_example.rd
nFCA documentation built on May 19, 2017, 11:24 p.m.