Dear all,
I am having a hard time to figure out a suitable test for the match
between two nominal classifications of the same set of data.
I have used hierarchical clustering with multiple methods (ward,
k-means,...) to classify my dat into a set number of classesa, and I
would like to compare the resulting automated classification with the
actual - objective benchmark one.
So in principle I have a data frame with n columns of nominal
classifications, and I want to do a mutual comparison and test for
significance in difference in classification between pairs of columns.
I just need to identify a suitable test, but I fail. I am currently
exploring the possibility of using Cohen's Kappa, but I am open to other
suggestions. Especially the fact that kappa seems to be moslty used on
failible, human annotators seems to bring in limitations taht do not
apply to my automatic classification.
Any help will be appreciated, especially if also followed by a pointer
to an R package that implements it.
Thanks
Martin
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