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:
“Here was a place where nothing was crystallized. There were no traditions, no customs, no college songs .... There were no rules and regulations. All would have to be thought of, planned, built up, created—what a magnificent opportunity!”
—Mabel Smith Douglass (1877–1933)