Cluster data by training a self-organizing maps network
The Neural Net Clustering app leads you through solving a clustering problem using a self-organizing map (SOM). It helps you select data, define the network architecture, and train the network. You can select your own data from the MATLAB® workspace or use one of the example datasets. After training the network, analyze the results using various visualization tools. You can then evaluate the performance of the network on a test set. If you are not satisfied with the results, you can retrain the network with modified settings or on a larger data set.
You can generate MATLAB scripts to reproduce results or customize the training process. You can also save the trained network to test on new data or use for solving similar clustering problems. The app also provides the option to generate various deployable versions of your trained network. For example, you can deploy the trained network using MATLAB Compiler™, MATLAB Coder™, or Simulink® Coder tools.
Deep Learning Toolbox™
MATLAB Toolstrip: On the Apps tab, under Machine Learning, click the app icon.
MATLAB command prompt: Enter