Today’s post is a brief example of how to implement a game using F# and SignalR. Creating a game for bots to play doesn’t have to be overly difficult. Since interesting emergent qualities can arise from simple rules, it makes for a fun way to show off SignalR, beyond the standard chat application. As this post will show, F# and SignalR work well together to create a nice communication framework without requiring a complex setup.
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.