Bayesian Information Criterion Plots and Interpretation Issues

Machine Learning and Modeling
1

Greetings all,
I am having trouble interpreting the results from an Expected Maximization clustering using mclust and the Iris flower data.

RE: https://rpubs.com/oaxacamatt/496295
If one were to investigate Plot 1 and 2 ;
How do the graphics lead one to determine the optimum clustering should be 3?

TY,

2

This post has a nice quick explanation (it starts with k-means, but then goes on to mclust)
https://datascienceplus.com/finding-optimal-number-of-clusters/

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