Which of the following is correct about linear discriminant analysis ?1) It maximizes the variance between the classes relative to the within class variance.2) It minimizes the variance between the classes relative to the within class variance.3) It maximizes the within class variance relative to the variance between classes.4) None of these

3) It maximizes the within class variance relative to the variance between classes

Explanation:

Linear discriminant analysis (LDA), also referred to as the normal discriminant analysis (NDA), is a method that is used in machine learning, statistics, and pattern recognition, in order to get a linear combination of characteristics that can be used to separates two classes of events or more.

Of the options, the correct thing about linear discriminant analysis is that it maximizes the within class variance relative to the variance between classes.

the answer is d. splog