KrzyGajow/HOFS: Higher Order Mutual Information Approximation for Feature Selection
A higher order Mutual Information (MI) based approximation technique. Instead of producing a single list of features, method produces a ranked collection of feature subsets that maximizes MI, giving better comprehension (feature ranking) as to which features work best together when selected, due to their underlying interdependent structure.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Krzysztof Gajowniczek |
| Maintainer | Krzysztof Gajowniczek <krzysztof_gajowniczek@sggw.edu.pl> |
| License | GPL-3 + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
