Dimension Reduction

Dimensionality reduction is a key technique within unsupervised learning. It compresses the data by finding a smaller, different set of variables that capture what matters most in the original features, while minimizing the loss of information.

References

O'Reilly Media. (n.d.). Chapter 7. Machine Learning and Security: Protecting Systems with Data and Algorithms. Link