Multivariate Methods > Discriminant Analysis > Example of Discriminant Analysis
Publication date: 08/13/2020

Example of Discriminant Analysis

In Fisher's Iris data set, four measurements are taken from a sample of Iris flowers consisting of three different species. The goal is to identify the species accurately using the values of the four measurements.

1. Select Help > Sample Data Library and open Iris.jmp.

2. Select Analyze > Multivariate Methods > Discriminant.

3. Select Sepal length, Sepal width, Petal length, and Petal width and click Y, Covariates.

4. Select Species and click X, Categories.

5. Click OK.

Figure 5.2 Discriminant Analysis Report Window 

Because there are three classes for Species, there are two canonical variables. In the Canonical Plot, each observation is plotted against the two canonical coordinates. The plot shows that these two coordinates separate the three species. Since there was no validation set, the Score Summaries report shows a panel for the Training set only. When there is no validation set, the entire data set is considered the Training set. Of the 150 observations, only three are misclassified.

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