Are HMMs still used for unsupervised tasks? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I'm exploring Hidden Markov Models (HMMs) as a baseline method for "dataset exploration/discovery" where I have a bunch of unstructured data with no annotations, and wish to gain insights about the structure and semantics of the data within. I was wondering if there are more modern (deep learning based or otherwise) approaches which have completely superseded HMMs for such tasks.
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