Re: Cluster analysis expert needed

Posted by Rich Ulrich on Oct 15, 2014; 7:23pm
URL: http://spssx-discussion.165.s1.nabble.com/Cluster-analysis-expert-needed-tp5727586p5727607.html

I'm not sure what your *ideal* results would look like, but it sounds to me
as if it would take some luck for a clustering output to provide it.

If Employed/Unemployed is inevitably going to dominate the results,
one simple expedient is to perform separate analyses for those two groups.

"Correspondence analysis" is what comes to mind to me, if you want
a set of features from outcomes (on left side of the equation) to emerge
which are associated with a set of features on the right side.

If you already have a specified set of outcomes, then the Discriminant Function
procedure might provide some nice plots with centroids of the first two or three of
functions.

--
Rich Ulrich

> Date: Wed, 15 Oct 2014 08:27:39 -0700

> From: [hidden email]
> Subject: Re: Cluster analysis expert needed
> To: [hidden email]
>
> Thank you for the pieces of advice!
>
> My cases are related with a usual 'disadvantage group' of people. The idea
> behind this analysis is showing the existence of different (multiple)
> disadvantages within this 'disadvantage group'.
>
> I have around 8 variables that are demographics (continuous + categorical
> (nominal) + binary (e.g. renting/not renting)
>
> 10 variables that are related with employment (continuous categorical and
> binary); and
>
> 8 variables that are related with claiming benefits (nominal - two options:
> claiming or not claiming a particular benefit)
>
> Does cluster analysis make sense for my project?
>

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