The R package, randomUniformForest is for classification, regression, and unsupervised learning. The basic block for a random forest is the decision tree model. To make our classification, researchers add some random effect. Because of this, the random forest method performs better than the decision tree model. We can use the following code to install, load, and get help about this specific R package:
> install.packages("randomUniformForest")
> library(randomUniformForest)
> help(package=randomUniformForest)
First, let's look at a relatively simple program that tries to classify different plants into four groups by using the random forest method:
library(randomUniformForest) data(iris) shortName<-unsupervised.randomUniformForest ...
