How Do You Understand Discriminant Analysis?
The statistical process of making classes out of a sample or set of observations is defined as Discriminant Analysis. This is not just a simple procedure. It is rather a set of actions that lead you to arrive at a suitable hypothesis in the event you are observing. Discriminant analysis may seem daunting or intimidating. On the contrary, it is actually very practical for use especially if you want to make sound predictions based on a given number of options. • Statistical Background. Some basic statistical knowledge, particularly Analysis of Variance (ANOVA) or other regression methods in analyzing a sample of data can be very beneficial for fully understanding how discriminant analysis works. A good course on statistics or at least brushing up on your knowledge of Statistics through websites such as StatSoft may fully arm you with the background knowledge that you need. • Training Set. Your training set can be anything. It can be a bu
