Serverless Machine Learning with Amazon Redshift ML

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Building Unsupervised Models with K-Means Clustering

So far, we have learned about building machine learning (ML) models where data is supplied with labels. In this chapter, we will learn about building ML models on a dataset without any labels by using the K-means clustering algorithm. Unlike supervised models, where predictions are made at the observation level, K-means clustering groups observations into clusters where they share a commonality – for example, similar demographics or reading habits.

This chapter will provide detailed examples of business problems that can be solved with these modeling techniques. By the end of this chapter, you will be in a position to identify a business problem that an unsupervised modeling technique can ...