Set Class Parameters

In the Parameters section on the left side:

• You will see parameters for Class 1 and Class 2.

• Each class has fields to set:

  • Mean values (Mean X, Mean Y)
  • Covariance matrix values (Covariance XX, Covariance XY, Covariance YY)
  • Prior Probability (the probability of each class before seeing data)

Adjust Parameters as Desired

• Modify any of the values by clicking on the input box and typing new numbers.
• The means define the center location of each class’s distribution.
• The covariance matrix controls the shape and orientation of the distribution.
• The prior probability defines how likely each class is, used for classification decisions.

Visualize Classification

After setting the parameters, the visualization will automatically reflect these changes on the plot canvas (600x600 pixels) on the right.

Use Buttons to Interact with the Plot

• Mark All: Click the Mark All button to classify and mark all points in the visualization area based on the current parameters.
• Clear: Click the Clear button to remove all marks and reset the plot display.

Interpret the Visualization

• The plot shows the 2D distributions for Class 1 and Class 2 based on your parameter inputs.
• Points or areas marked correspond to the classification regions according to Bayesian decision rules.