Teaching Demos

Click the links to download the demonstration software.

• SOM Demo: Demonstrates the Self-Organizing Map machine learning algorithm. The application generates random data and then users can step through the algorithm, viewing the intermediate results. See below for instructions.
  Design and Implementation: Michael Rice, Wesleyan University.

  To install the software, first download the above zip file to your computer (Windows machines only) and extract the installation folder. Then run SOM->Package->setup.exe to start the installation wizard.

• K-Means Demo: Demonstrates the K-Means clustering algorithm. The application generates random data and then users can step through the algorithm, viewing the intermediate results. See below for instructions.
  Design and Implementation: Michael Rice, Wesleyan University.

  To install the software, first download the above zip file to your computer (Windows machines only) and extract the installation folder. Then run KMeansDemo->Package->setup.exe to start the installation wizard.

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Teaching Demo Instructions

SOM Demo

1. Coming soon...

K-Means Demo

1. Click add random data (should put specified number of points in first panel).
2. At this point, the three option buttons below the button you just clicked should have the "add means" selected. If not, select that option and then click at a few points in the first panel to add the initial positions of the green means.
3. Click "distribute data" to see the clusters visually in the first panel.
4. Click in the second panel and then click "update means" to display the data points and positions of new means in the second panel.
5. Repeat 3 and 4 until convergence.