Classification is a commonplace problem nowadays. I have been lately working on classification issues for job reasons. I used Matlab, python and some other lower level languages for classification but resulted in tedious and kind of hard approaches.
R incorporates a special library to classify by using neural networks (NN), called ‘neuralnet’, which can be installed directly using: install.packages(‘neuralnet’).
In order to give an example along this post, we need a data set. Iris data set will be enough, it is perhaps the best known database to be found in the pattern recognition literature. We can download it from HERE.
The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features.