Training the SOM

• Training set:
  • Contains inputs only
  • No labels needed
• Training parameters
  • Size of the Self-Organizing Map
    • We will employ an n x n square
  • Radius of influence
    • All output nodes within the radius of the winner are trained
      • Greater distance implies a lower learning rate
    • All other nodes are ignored
    • We will use a radius of n