Summary
In this chapter, we discussed how to do unsupervised learning with the K-means algorithm.
You are now able to explain what the K-means algorithm is and what use cases it is appropriate for. Also, you can use Amazon Redshift ML to create a K-means model, determine the appropriate number of clusters, and draw conclusions by analyzing the clusters to help make business decisions.
In the next chapter, we will show you how to use the multi-layer perceptron algorithm to perform deep learning with Amazon Redshift ML.