I can think offhand that the most straightforward way is conducting the
cluster analysis without the cases in question, and then assigning them at
will to the desired clusters.
De: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] En nombre de
Enviado el: Wednesday, August 02, 2006 4:56 PM
Asunto: Re: K clustering preassigning some members in SPSS 14.0
I am not aware of a straightforward way to
assign cases to clusters before the fact
in K-means clustering.
In latent class modeling, there is a "Known class" modeling
capability. This feature is implemented in Release 4
of Latent Gold, available from Statistical Innovations.
From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
Sent: Tuesday, August 01, 2006 6:31 PM
Subject: K clustering preassigning some members in SPSS 14.0
I have 110 cases and 10 variables which I want to assign into 12 clusters.
I have run K clusters in SPSS 14.0 version. After checking resuults, some of
the cases would be assigned to a different cluster. It will be more
appropriate for some of the cases to be in a certain cluster. Is there a
way to assign these cases into some preselect clusters and then run the
clustering. Is there a way to assign weights to variables rather than the
cases. In SPSS you can give weigts to cases there is no choice for variable
that I have seen so far. Thanks in advance.
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