F# and ML.Net Clustering

The discovering ML.NET series continues. With the release of v0.3.0, it is time to look at performing K-means clustering using F# and Microsoft's new ML.NET framework. The use case will be to use examination attributes to classify mammogram results. For reference, previous ML.NET series posts are below: As I mentioned in the previous posts, there is a disclaimer: ML.NET is in its early stages. I found a couple interface idiosyncrasies I suspect will change over time.