Dirichlet processes are particulary suitable for our goal.
we construct our model as a Dirichlet Process (DP) mixture model, of which the components are HMMs that are used prior distribution for cluster labels the index of the boundary variable with value 1 € q th Figure 2: The graphical model for our approach.