Using Hidden Markov Models to Detect Seasonality in Sequential Data

Comparing techniques for finding and interpreting cyclic trends in sequential data with HMMs.

TL;DR

In this post we will discuss the advantages of performing seasonal clustering on time series data with a hidden Markov model as compared to a traditional

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Anna Haensch

Research data scientist at Tagup Inc., Ph.D. in mathematics. Computational number theorist turned machine intelligence engineer. Loves to write about math.