Discrimination Rules
- Maximum likelihood: Assigns x to the group that maximizes population (group) density.
- Bayes Discriminant Rule: Assigns x to the group that maximizes, where represents the prior probability of that classification, and πi represents the population density.
- Fisher’s linear discriminant rule: Maximizes the ratio between SSbetween and SSwithin, and finds a linear combination of the predictors to predict group.
Read more about this topic: Discriminant Function Analysis
Famous quotes containing the word rules:
“There are two great rules in life, the one general and the other particular. The first is that every one can in the end get what he wants if he only tries. This is the general rule. The particular rule is that every individual is more or less of an exception to the general rule.”
—Samuel Butler (1835–1902)