With classification models behind us, it is now time to dive into clustering models. Currently, in ML.NET there is only one cluster algorithm, k-means. In this chapter, we will dive into k-means clustering as well as the various applications best suited to utilizing a clustering algorithm. In addition, we will build a new ML.NET clustering application that determines the type of a file simply by looking at the content. Finally, we will explore how to evaluate a k-means clustering model with the properties that ML.NET exposes.
In this chapter, we will cover the following topics:
- Breaking down the k-means algorithm
- Creating the clustering application
- Evaluating a k-means model
Breaking down the k-means algorithm
As mentioned ...
