A Machine Learning Specialist prepared the following graph displaying the results of k-means for k = [1..10]: Considering the graph, what is a reasonable selection for the optimal choice of k?
because the elbow method is a heuristic method its open to debate as to where the correct bend in the cluster is. It's a good tool to use with lower computation cost than computing the silhouette score. When looking at https://www.youtube.com/watch?v=qs8nfzUsW5U instead of eyeballing where the bend is, he calculates where the difference between scores is smaller than the 90th persentile
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