Clustering for Unsupervised Learning

Unsupervised learning

Unsupervised learning is when we use unlabeled data to allow a model to learn relationships between data observations and pick up on underlying patterns. Most data in the world is unlabeled, which makes unsupervised learning a very useful method of machine learning. The most common algorithms for unsupervised learning are clustering algorithms. We will look at some of these later in this lesson.