Using Hidden Markov Models to Detect Seasonality in Sequential Data

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


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.