Further we have compared it with K-Means with the adjusted rand score. Outputs from the GMM model.
Clustering With Gaussian Mixture Model By Azad Soni Clustering With Gaussian Mixture Model Medium
The Gaussian mixture model has an adjusted rand score of 09.
. Gaussian Mixture Models GMM 4 clusters of Australian cities. It shows how efficient it performs compared to K-Means. Below is the summary printed by the above code.
Lets now build our GMM model. GMM clustering building a model. Now lets plot clusters on a map.
In this article we have discussed the basics of Gaussian mixture modelling. Note the convergence has been achieved after 7 iterations with means cluster centers displayed. It gives a better fit of clustering.
Hence it is advisable to.
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