In Variables or distance matrix, enter either the columns that contain measurement data or a stored distance matrix that contains the distances between all pairs of variables.
If you enter a stored distance matrix, Minitab cannot calculate statistics for the final partition.
For measurement data, you must have two or more numeric columns, and each column must represent a different measurement. Delete rows that have missing data from the worksheet before you perform this analysis. If you have many rows of data, you may want to subset your worksheet to exclude the rows with missing values. For more information, go to Overview for Subset Worksheet.
You cannot enter a categorical variable for this analysis. If you have a categorical variable, you must first convert the text values to a numerical scale, or you must perform a separate analysis for each level of the categorical variable. For more information, go to Data considerations for Cluster Variables.
For the stored distance matrix, the entry in row i and column j of distance matrix D is the distance between variables i and j. For information on creating and using stored matrices in Minitab, go to Overview for Matrices.
In this worksheet, each column contains measurements on different variables, measured in different cities around the world, which may be associated with college admission rates. The variables include the number of newspaper copies, radios, and television sets per 1,000 people in different cities, the literacy rate, and the existence of a university. Investigators hope to reduce the number of variables by combining the variables based on similar characteristics.