Markov and Viterbi - implemented by Brian Beckman

https://github.com/rebcabin/DotNetExtensionsImproved

From Wikipedia - information on Markov and Viterbi:

A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states

The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of observed events, especially in the context of Markov information sources, and more generally, hidden Markov models.