XVI

This activity deals with Probabilistic Classification. We use a derivative of the Bayes Theorem, which is the Linear Discriminant Analysis (LDA) formula:

using the definitions given in http://people.revoledu.com/kardi/tutorial/LDA/LDA.html, assignment of a test image is given to the class with a maximum f.


Using the images of Activity 15, I chose the set of sample and test images of playing cards and 5 peso coins. With 5 samples and also 5 test images, I employ LDA to the test images. The feature identified I chose is color, so that it would be easy to test.

Figure 1. Result of Linear Discriminant Analysis

Fig. 1 shows the results of LDA. The 1st set of f corresponds to the cards, while the 2nd set corresponds to the 5-peso coins test images. The results showed a 100% rate in correctly identifying the test images. This may be due to my decision to use color as feature, because the five-peso coins are tarnished gold while the cards are  red.

Self-Assesment: 10/10