hello,
if anyone knows how to modify the syntax for the k-mean cluster analysis to counted in one macro solution for 2, 3, 4 and 5 clusters? I remember that it was a small change in the macro... |
I noticed that nobody
responded to this post.
(1) take a look at TWOSTEP which can give you a range of solutions and AIC or BIC as an aid for a stopping rule. David - ignore this post. (2) do not bother with a macro. simply copy and paste your syntax 3 more times. using the editor substitute 3 for the 2, then 4 for the 2, then 5 for the 2. so you have /CRITERIA=CLUSTER(2) /CRITERIA=CLUSTER(3) /CRITERIA=CLUSTER(4) /CRITERIA=CLUSTER(5) That is basically what a macro would do. However unless you have a huge number of cases, you should consider CLUSTER. Art Kendall Social Research ConsultantsOn 11/12/2013 2:02 PM, iwopil [via SPSSX Discussion] wrote: hello,
Art Kendall
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"David - ignore this post."
Art, you didn't think that would really work, did you? ;-) This is untested. DEFINE !QC (!POS !TOKENS(1) / !POS !TOKENS(1)) !DO !n = !1 !TO !2 QUICK CLUSTER {your variable list} /CRITERIA=CLUSTER(!n) { other sub-commands you want } . !DOEND !ENDDEFINE !QC 2 5.
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no i didn't but writing
a macro for 4 short snippets of syntax could be over kill.
Also it would be better to use TWOSTEP and hierarchical clustering so that one can decide how many clusters to retain by something other than gut feeling. Art Kendall Social Research ConsultantsOn 11/23/2013 5:58 PM, Bruce Weaver [via SPSSX Discussion] wrote: "David - ignore this post."
Art Kendall
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Why gut feeling, Art? We usually compare (a range of) cluster
solutions by a clustering criterion (including those BIC/AIC) after
we got and saved all the solutions (and I have a number of
popular clustering criterions on my page
rivita.ru/spssmacros_en.shtml to do it). The TWOSTEP's in-built
option to estimate the number of clusters during the
clusterization looks attractive feature but actually is risky. I, in
particular, may recommend using it only with really big data.
24.11.2013 4:28, Art Kendall пишет:
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Yes TWOSTEP like all
exploratory heuristic algorithms has risky aspects.
That is why I recommend also looking at multiple hierarchical solutions also. I usually recommend using a few randomizations of cases when using QUICK CLUSTER and TWOSTEP. It is good to know about those macros. They look great, I'll give them a try. You seem to have many tools on you page that would be related to math psych. Is that your background? These tools are also the kinds of things that are subjects at the Classification Society and the International Federation of Classification Societies. Do you follow them? However, an OP who does not know how to change 1 character in a snippet of syntax, is hardly going to be trying to use macros. Art Kendall Social Research ConsultantsOn 11/24/2013 12:13 AM, Kirill Orlov [via SPSSX Discussion] wrote: Why gut feeling, Art? We usually compare (a range of) cluster solutions by a clustering criterion (including those BIC/AIC) after we got and saved all the solutions (and I have a number of popular clustering criterions on my page rivita.ru/spssmacros_en.shtml to do it). The TWOSTEP's in-built option to estimate the number of clusters during the clusterization looks attractive feature but actually is risky. I, in particular, may recommend using it only with really big data.
Art Kendall
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"However, an OP who does not know how to change 1 character in a snippet of syntax, is hardly going to be trying to use macros."
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