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RFclust  

Random Forest Cluster Analysis
View on CRAN: Click here


Download and install RFclust package within the R console
Install from CRAN:
install.packages("RFclust")

Install from Github:
library("remotes")
install_github("cran/RFclust")

Install by package version:
library("remotes")
install_version("RFclust", "0.1.2")



Attach the package and use:
library("RFclust")
Maintained by
Ankur Chakravarthy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-02
Latest Update: 2022-06-21
Description:
Tools to perform random forest consensus clustering of different data types. The package is designed to accept a list of matrices from different assays, typically from high-throughput molecular profiling so that class discovery may be jointly performed. For references, please see Tao Shi & Steve Horvath (2006) & Monti et al (2003) .
How to cite:
Ankur Chakravarthy (2021). RFclust: Random Forest Cluster Analysis. R package version 0.1.2, https://cran.r-project.org/web/packages/RFclust. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.1 (2021-06-02 09:50)
Other packages that cited RFclust R package
View RFclust citation profile
Other R packages that RFclust depends, imports, suggests or enhances
Complete documentation for RFclust
Functions, R codes and Examples using the RFclust R package
Some associated functions: RFCluster . gbm . 
Some associated R codes: RFCluster.R .  Full RFclust package functions and examples
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