My program uses clustering to produce subsets of similar items and then uses the cosine similarity measure as a method of determining how similar the clusters are. For instance if user 1 has 3 clusters and user 2 has 3 clusters then every cluster is compared against each other, 9 results using the cosine similarity measure will be produced, e.g. [0.3, 0.1, 0.4, 0.12, 0.0, 0.6, 0.8, 1.0, 0.22]
My problem is, based on these results how can I turn these values into a tangible result to show how similar these two users are?
A simple method I produced was to just divide all the values by the number of comparisons and add them together to get 1 value but this is quite a simple approach.
Thanks,
AS