Re: clustering factor with spss

From: Art Kendall (Art_at_DrKendall.org)
Date: 11/25/04


Date: Thu, 25 Nov 2004 02:44:47 GMT

SPSS has the ability to do many forms of factor analysis including PCA.
it also has CATPCA for factoring categorical variables.

Most clustering algorithms assume the variables are rather independent.
   Factor scores from PCA would be orthogonal - very independent so no
problem on that score. In many situations the variables that comprise a
factor are summed into a score with unit weights, 1 if the item loads
highly and cleanly on the factor, and zero otherwise.

SPSS has many similarity measures, and several clustering methods,
including the new twostep procedure which can be used with continuous
and/or categorical variables.

Of course a lot depends on the nature of your variables, and how the
cases were chosen.

Art
Art@DrKendall.org
Social Research Consultants
University Park, MD USA
(301) 864-5570

wainer lusoli wrote:
> Hallo -
>
> Hope this is the ritgh place to ask.
>
> Does anybody know if SPSS supports clustering of cases on basis of PCA
> scores, and how. (before I scratch my nail in vain)
>
> Much appreciated
>
> Kind regards
>
> Wainer
>
> w.lusoli_at_salford.ac.uk



Relevant Pages

  • Re: Principal Component Analysis
    ... If you just have numerical and binary data, Pearson correlation will not be ... If your categorical variables are ordered-categorical, ... then place these in a single matrix and analyze that matrix by PCA. ... comparison of my variables and then performing hierarchical clustering ...
    (sci.stat.consult)
  • Re: Principal Component Analysis
    ... For data reduction, see the CATPCA - Categorical PCA - procedure in SPSS it deals with mixed continuous and categorical variables. ...
    (sci.stat.consult)
  • Re: Principal Component Analysis- Do I need to scale (i.e. normalize) my variables?
    ... biologist in the Classification Society, Jim Rohlf has been working on ... I need to perform PCA on 20 or so variables (ex. ... mention that standardization undoes any previous linear but not non- ... SPSS standardization)? ...
    (sci.stat.math)
  • Re: what kind of clustering method to apply?
    ... Of course a lot depends on what your objects/cases are, what your variables are, and what kind of similarity measure you have. ... BAVERAGE Average linkage between groups. ... CENTROID Centroid clustering. ... No matter which package you end up using the chapter in the SPSS Base User's Guide "Choosing a Clustering Procedure" should be of help. ...
    (sci.stat.edu)
  • Re: PCA for cluster detection?
    ... I want to appologize for my ignorace since I'm just a student trying to get known with statistics. ... I've been addressed a quite dangerous question: "Explain how PCA, cluster analysis and the correlation matrix TOGETHER can be used to improved knowledge about the relationships between different variables od a data set." ... I know that PCA can be very tricky and I don't want to get it wrong from the beginning, so I will really appreciate your opinion! ... then the clustering ...
    (sci.stat.math)