![]() ‘The results indicated that respondents could be clustered into four segments. In the department store project, respondents were clustered on the basis of self-reported importance attached to each factor of the choice criteria utilized in selecting a department store. SAS does not provide TwoStep cluster analysis. Click CLUSTER and select K-MEANS ALGORlTIIM as the CLUSTER METHOD and 3 for the MAXIMUM NUMBER OF CLUSTERS.Select ANALYZE from the SAS Learning Edition menu bar.The following are the detailed steps for running nonhierarchical (k-Means) cluster analysis on the attitudinal data of Table 20.1. Click RESULTS and select SIMPLE SUMMARY STATISTICS.Click CLUSTER and select WARD’S MINIMUM VARIANCE METHOD under CLUSTER METHOD.Move VI-V6 to the ANALYSIS VARIABLES task role. ![]() The following are the detailed steps for running hierarchical cluster analysis on attitudinal data (VI to V6) of Table 20.1. To select this procedure using SAS Learning Edition, click: Alternatively, the task can create” nonhierarchical clusters of coordinate data by using the k-means method. If the data set contains coordinate data, the task computes Euclidean distances before applying the clustering methods. The Multivariate>Cluster Analysis task creates hierarchical clusters from data that contains either coordinate or distance data. For a point-and-click approach for performing cluster analysis, use the Analyze task within the SAS Learning Edition. ![]() The instructions given here and in all the data analysis chapters (14 to 22) will work with the SAS Learning Edition as well as with the SAS Enterprise Guide.
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