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. Hector

-----Mensaje original----- De: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] En nombre de Anthony Babinec Enviado el: Wednesday, August 02, 2006 4:56 PM Para: SPSSX-L@LISTSERV.UGA.EDU 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.

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of OZGU GILL Sent: Tuesday, August 01, 2006 6:31 PM To: SPSSX-L@LISTSERV.UGA.EDU Subject: K clustering preassigning some members in SPSS 14.0

Hi there,

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.

Ozgu

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