scalingRegistry

datasets

Provides tools to perform fuzzy formal concept
analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23>
and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>.  It
provides functions to load and save a formal context, extract its
concept lattice and implications.  In addition, one can use the
implications to compute semantic closures of fuzzy sets and, thus,
build recommendation systems.

Domingo Lopez Rodriguez

fcaR

Formal Concept Analysis

Angel Mora

Jesus Dominguez

Ana Villalon

Ian Johnson

scalingRegistry function

<p>An object of class <code>scaling_registry</code> (inherits from <code>registry</code>) of length 6.</p>

Format

Scaling Registry — scalingRegistry

Scaling Registry

scalingRegistry: Scaling Registry

Description

Usage

Arguments

Format

Details