I suspect the answer is, that these are options which haven't yet been implemented in the QUICK CLUSTER command. However, you can probably achieve most of these things with a bit of manual intervention. For example, you can get the distance between a case and the center of a cluster using the COMPUTE command.
I have sent a message to the original author of the QUICK CLUSTER command to see
if he has any other suggestions.
Regarding your question about testing that bot sets of cases come from the same
population, it seems to me that this is a goodness-of-fit test, and hence
the Chi-Squared Test would be appropriate.
J'
On Sat, Apr 21, 2012 at 07:57:43PM -0700, stn021 wrote:
Hi,
the K-Means-Clusteranalysis computes a number of clusters and says how many
cases belong to each cluster.
How can I
1) find out which cases belong to which cluster?
2) apply the clusters to other cases that were not included in the
analysis.
What I mean is: suppose I have 1000 observations from the same population
and use 500 of those to calculate the cluster-means, then the other 500
should fit into the same clusters, otherwise it would not be the same
population. So how can I
2.1) match these cases to the clusters and
2.2) test the underlying claim that both sets of observations really belong
to the same population?
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