Quadratic Discriminant Analysis of Several Groups

Quadratic discriminant analysis for classification is a modification of linear discriminant analysis that does not assume equal covariance matrices amongst the groups [latex](\Sigma_1, \Sigma_2, \cdots, \Sigma_k)[/latex]. Similar to LDA for...

LDA for Classification into Several Groups

Similar to the two-group linear discriminant analysis for classification case, LDA for classification into several groups seeks to find the mean vector that the new observation [latex]y[/latex] is closest to...

Quadratic Discriminant Analysis of Two Groups

As mentioned in the post on classification with linear discriminant analysis, LDA assumes the groups in question have equal covariance matrices [latex](\Sigma_1 = \Sigma_2 = \cdots = \Sigma_k)[/latex]. Therefore, often...

Classification with Linear Discriminant Analysis

Classification with linear discriminant analysis is a common approach to predicting class membership of observations. A previous post explored the descriptive aspect of linear discriminant analysis with data collected on...

Predicting Extramarital Affairs with Decision Trees and R

In this example, we'll build classification decision trees to analyze if a particular individual will commit an affair on their partner based on demographics and other data. Getting Started Start by loading...