R help - Oct 2009 - Presence Absence of variables in a multivariate data set

I'm sure this is a simple problem, however I need a bit of help to sort it
out.

I have a multivariate data set of elements.  Some of the observations have
some amount of certain elements but are lacking in others.  Therefore, I
want to quickly group/cluster the observations based on a presence/absence
type scenario.

I have converted the dataset to binary where presence = 1 and absence = 0.

I am toying around with Logistic regression, hclust of the binary data and
even PCA with the binary data.  The latter two clearly group the data based
on presence/absence, but I feel there must be a "usual" way to do what
I'm
attempting.

Any advice/help would be greatly appreciated.

Thanks


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