Basically you can do it like this: -- in the hierarchical clustering procedure dialog box, choose 'Save..'> Cluster membership, single solution, 3 clusters. -- aggregate by means of the variables used for the cluster analysis, with the new cluster membership variable as the break variable. Create a new file, rather than accepting the SPSS default (aggr.sav or something) -- Open that file and delete the first variable (cluster) and check the variable names are correct (ie that SPSS hasn't added _1 to the orginal names) -- in the original file, in k-means, choose 3 clusters; Cluster centers>Read initial from>File... and find the .sav file you just created.
Sorry I'm a bit hazy on the details. Ken Quoting Aaron Eakman <[EMAIL PROTECTED]>: > I am using SPSS 12 for my clustering procedures. I started with > heirarchical clustering using Wards method with squared euclidean > distance. I have identified a three cluster solution as the best option > from a possible range of 2-4 that I established a priori. > > Here is my problem, I want to next run a K-means clustering procedure. > More specifically, I want to use the centroids of the three clusters from > my heirarchical procedure as "seed" or starting values for the K-means > clustering procedure. Unfortunately, SPSS does not generate this output > from the heirarchical procedure. And I do not know 1) how to generate > cluster centroids from the cluster assignment information provided by SPSS > heirarchical procedure, and 2) even if I did, I do not know how > to generate an SPSS.sav file with that information for use by the K-means > approach. A further problem, I am a point and clicker and not savvy with > command syntax; I AM WILLING TO LEARN IF IT CAN GET ME OUT OF MY MESS!! > > Any persons that are SPSS - Cluster Analysis savvy, or know others that > might lend a hand would be met with gratitude for any assistance. > > Take care, > > Aaron Eakman > > ---------------------------------------------- > CLASS-L list. > Instructions: http://www.classification-society.org/csna/lists.html#class-l > ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l
