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:
“It was one of the rules which above all others made Doctr. Franklin the most amiable man in society, “never to contradict any body.””
—Thomas Jefferson (1743–1826)