Introduction

The following is Wikipedia's definition of unsupervised learning:

"In machine learning, the problem of unsupervised learning is that of trying to find hidden structure in unlabeled data."

In contrast to supervised learning, where we have labeled data to train an algorithm, in unsupervised learning, we ask the algorithm to find a structure on its own. Let's take a look at the following sample dataset:

As you can see in the preceding graph, the data points are forming two clusters, as follows:

In fact, clustering is the most common type of unsupervised learning algorithm.