Self-Organizing Map Explained for Beginners

A self-organizing map is a special type of artificial neural network that helps to understand and organize complex data.

You can imagine it like a map where similar things are located close to each other.

The network learns independently to recognize patterns in the data without being told what is right or wrong.

This way, data that is similar is displayed next to each other on the map, allowing you to see relationships better.

Self-organizing maps are often used to visualize or group large amounts of data.