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 <[log in to unmask]>:

> 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
>
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