What is canonical discriminant analyses?

This being said, what's the point of discriminant analysis?

General Purpose discriminant function analysis is used for determining which variables discriminate among two or more naturally occurring group.

The next question is: How do you conduct discriminant analysis? The 7-step process of discriminant analysis.

1. Step 1: Collect training data.
2. Step 2: Prior Probabilities
3. Step 3: Bartlett’s test.
4. I i ) .
5. Step 5: Compute discriminant functions.

Afterwards, you might also wonder, "What does canonical correlation actually mean?"

Canonical Correlation (multivariate analysis of correlation) is one example. Canonical refers to the statistical term used to analyze latent variables that are not observed directly but which represent variables that are directly observed. A Canonical Variate refers to the sum of all variables included in the analysis.

What is linear discriminant analysis?

The process of discriminant analysis involves creating linear combinations of predictors and a latent variable for each function. These functions are known as discriminant function. Ng-1 is the number of possible functions. Ng is the number of groups. p is the number of predictors.