Unsupervised Learning is a type of machine learning where the program learns the inherent structure of the data based on unlabeled examples.

Clustering is a common unsupervised machine learning approach that finds patterns and structures in unlabeled data by grouping them into clusters.

Some examples:

• Social networks clustering topics in their news feed
• Consumer sites clustering users for recommendations
• Search engines to group similar objects in one cluster

For a quick preview, we will show you an example of unsupervised learning.