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Cluster Analysis 5. Click OK. A summary of the clustering appears in the Report window. Example 2 In Compute Dissimilarities on page 329, we calculated dissimilarities for the fuel.frame data set. In this example, we cluster the fuel.frame dissimilarities using the partitioning around medoids algorithm. 1. If you have not already done so, create the object fuel.diss from the instructions on page 330. 2. Open the Partitioning Around Medoids dialog. 3. Select the Use Dissimilarity Object check box. 4. Select fuel.diss as the Saved Object. 5. Click OK. A summary of the clustering appears in the Report window. Fuzzy Partitioning Most clustering algorithms are crisp clustering methods. This means that each object of the data set is assigned to exactly one cluster. For instance, an object lying between two clusters must be assigned to one of them. In fuzzy clustering, each observation is given fractional membership in multiple clusters. Performing fuzzy partitioning From the main menu, choose Statistics Cluster Analysis Fuzzy Partitioning. The Fuzzy Partitioning dialog opens, as shown in Figure 6.66. 333
