When you don’t have labeled data or a ground truth, unsupervised techniques such as clustering are most commonly used. But unsupervised techniques are also employed for data preprocessing, feature extraction, and feature selection.
For this discussion post, consider an example where a type of unsupervised learning can be employed. Think about its applications and challenges it can offer within the selected example.
For your post, explain your example and discuss the principles of unsupervised learning you selected for your example.
Evaluate the appropriateness of the selected unsupervised learning technique, its applications, and challenges within your example.
