In R-Commander, click Data → Data in pacakges → Read data set from an attached package, then select the iris data from the datasets package. The data include the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of three species of iris. Use these measurements to divide the flowers into three groups. Make sure the options Print cluster summary and Assign clusters to the data set are checked. Use the centroids to explain how the three identified clusters are different. Between sepal and petal, which one seems to be more important in distinguishing the three clusters? Use the newly created variable that identifies the clusters (by default, R-Commander assigns the name KMeans to this variable) to create a contingency table where the rows are different clusters and the columns are different species. What is the connection between clusters and the type of flowers?
