An education technology company wants to group learners by behavior patterns and also recommend personalized study content. They are looking at K-Means and K-Nearest Neighbors (KNN) for this purpose. The team needs to understand how these two algorithms work and when to use each one. Which of the following statements best explains the main difference between K-Means and KNN?