Neural Networks with R

Unsupervised learning in neural networks 

In this section, we present unsupervised learning models in neural network, named competitive learning and Kohonen SOM. Kohonen SOM was invented by a professor named Teuvo Kohonen and is a way to represent multidimensional data in much lower dimensions: 1D or 2D. It can classify data without supervision. Unsupervised learning aims at finding hidden patterns within the dataset and clustering them into different classes of data.

There are many unsupervised learning techniques, namely K-means clustering, dimensionality reduction, EM, and so on. The common feature is that there is no input-output mapping and we work only on the input values to create a group or set of outputs. 

For the case of neural ...