With the release of v0.7.0, it is time to revisit K-means clustering using F# and Microsoft’s new ML.NET framework. The api has changed enough to warrant a minor rework. This post is a re-examination of a previous post F# and ML.NET Clustering. The use case will be to use examination attributes to classify mammogram results.
Recently I was working on a project using F# and Elasticsearch. I thought it would be fun to post a light introduction. Nicely enough, Elastic provides a .NET client, two actually here. They are a combination of low level and high level interfaces. As is sometimes the case, using F# and C#-style libraries requires some clever navigation of the interface. For this post I will only focus on the high level interface (NEST).