I can't see that this is anything to do
with which dissimilarity measure you use.
It depends on how you are setting up
the analysis.
If you enter 55 individuals into an analysis,
40 from Australia and 15 from New Zealand,
and then classify them, the fact that you
have different numbers from each country
is presumably one of many to be borne
in mind, but no obvious technical problems
arise thereby for cluster analysis.
I am not, however, clear that this is
what you want to do.
Nick
[email protected]
D.Christodoulou
> I have two datasets of binary data with different number of
> observation,
> e.g. an Australian dataset with 40 individuals, and a New Zeland 15
> individuals. I want to use the Jaccard coefficient to measure the
> similarity between these two datasets.
>
> Leaving aside the assumptions for the similarities between
> the two samples,
> is it a problem that the two datasets are not of the same size?
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