I have a set of data that I would like to cluster.

Considered some domain features, I think that Mutual Information is a pretty good measure of how much to elements of the dataset are close one to the other.

Each data point in my dataset is a vector of categorical features.

Have anyone experience with such approach?


1 Answer 1


There are many clustdeing algorithms that can be used sith any similarity or dissimilarity. E.g.,

  1. Hierarchical Agglomerative Clustering

They are commonly used with distances, but they don't require any special properties, so they can be made to work with similarities, too.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.