Re: Clustering Variables

[Art Kendall]

In SPSS all of the few dozen Proximity (similarity measures) can be applied to variables.  (After the data are transformed and transposed)  The  Proximity matrix can then be read into the variety of cluster procedures.  Or the transposed data can be read directly into the CLUSTER, or Quick cluster procedure.  I see no reason (given that you want to cluster variables) that the TWOSTEP cluster could not read a transposed data matrix. Of course there are all of the varieties of factor analysis which are more commonly used to group variables.  The CATPCA procedure factors categorical variables. When the variables are used to classify or differentiate a categorical variable, there are procedures like DISCRIMINANT  or the various Procedures under CATEGORIES  or the new classification trees. Art [EMAIL PROTECTED] Social Research Consultants University Park, MD  USA (301) 864-5570   Wolfgang M. Hartmann wrote: Subject: Clustering Variables Hi, a few days ago Prof. Shannon asked for references and hints on feature selection methods. I'm also very much interested in methods for variable clustering. I know about other predictive methods like LARS and Lasso or SVM or the stepwise regression methods in Alan Millers book. But, except PROC VARCLUS in SAS/STAT, which refers to Harman and Anderberg, I do not know of any other variable cluster method. Wolfgang