multivariate poisson hidden markov models for analysis of spatial ...

Figure 6.8 illustrates the optimal value of the mixing proportions for the entire range of
models used (values of k from 2 to 7).
Proportion
1.00
0.90
0.80
0.70
0.60
0.50
0.40
0.30
0.20
0.10
0.00
2 3 4 5 6 7
Number of Components -k
Figure 6.8: The mixing proportions for model solutions with k =2 to 7 components for
the restricted covariance multivariate Poisson finite mixture model
Again, the graph does not illustrate a stable cluster configuration, i.e. a clustering that
remains relatively stable over the different component solutions. In other words, the
cluster proportions tend to fluctuate. It can be seen that there is one large component
and the rest are small components in all models. Table 6.8 contains the parameter
estimates for the model with five components.
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