nimasasa/RFCMFND: A Random Forest Classifier for Multi-type Functional Neuroimaging Data

In this package, we propose a modified Random Forest (RF) classifier for multi-type functional neuroimaging data (foci) and a K-Centroids Cluster Analysis (KCCA) algorithm to pre-process the foci.

Getting started

Package details

AuthorJian Kang, Amirhossein Meisami, Nima Salehi Sadghiani
LicenseUniversity of Michigan
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
nimasasa/RFCMFND documentation built on May 23, 2019, 7:05 p.m.