The DISCRIM Procedure

Examples

The iris data published by Fisher (1936) are widely used for examples in discriminant analysis and cluster analysis. The sepal length, sepal width, petal length, and petal width are measured in millimeters on fifty iris specimens from each of three species, Iris setosa, I. versicolor, and I. virginica. The iris data are used in Example 25.1 through Example 25.3.

Example 25.4 and Example 25.5 use remote-sensing data on crops. In this data set, the observations are grouped into five crops: clover, corn, cotton, soybeans, and sugar beets. Four measures called X1 through X4 make up the descriptive variables.

Examples

Example 25.1: Univariate Density Estimates and Posterior Probabilities

Example 25.2: Bivariate Density Estimates and Posterior Probabilities

Example 25.3: Normal-Theory Discriminant Analysis of Iris Data

Example 25.4: Linear Discriminant Analysis of Remote-Sensing Data on Crops

Example 25.5: Quadratic Discriminant Analysis of Remote-Sensing Data on Crops