Unsupervised Learning, Clustering, K Means, Lda, Topic Modeling.
distance. Hidden Markov Model Finally, let’s cover some timeseries analysis. For clustering, my favourite is using Hidden Markov Models or HMM. In a Markov Model, we look for states and the probability of the next state given the current state. An example below is of a dog’s life in Markov Model.