title: Hidden Markov Model how to generate probabilities
body: <p>I have a lot of data from pulse\heart rate measurements, so the data is in long integer lists, and I have 8 states (although the data can range to much more than 1 to 8- it can be 50 to 140).
  I want an algorithm which can take the measurements data and through unsupervised learning to give me the probability to move from one state to another.
  So I don't know the transition-matrix, and I don't know on the measurement data to allocate the different states.
  all I have is 8 states, vectors with the heart-rate measurements, and I need to get the probabilities to move from one state to all others.
  I'm not sure how can I use HMM to do it, or is it a way to do it at all.</p>