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
Browse package contents
Package details |
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| Author | Jian Kang, Amirhossein Meisami, Nima Salehi Sadghiani |
| Maintainer | |
| License | University of Michigan |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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