How does unsupervised learning work?

Can you explain how unsupervised learning works?

Sure! Unsupervised learning is a type of machine learning where the model learns from unlabeled data.

What are some common algorithms used in unsupervised learning?

Common algorithms include K-means clustering, hierarchical clustering, and principal component analysis (PCA).

How is it different from supervised learning?

In supervised learning, the model is trained on labeled data, while unsupervised learning works with data that has no labels.

Can you give an example of unsupervised learning in real life?

Certainly! A common example is customer segmentation in marketing, where businesses group customers based on purchasing behavior.