Dimensionality Reduction

The repository contains the code for the following dimensionality reduction techniques:

• Principal Component Analysis (PCA)
• Factor Analysis (FA)
• Autoencoder (AE)

The methods and results are discussed in the following blog posts:

• Untangling complexity: harnessing PCA for data dimensionality reduction
• Unlocking hidden patterns with Factor Analysis
• Using Autoencoders to reveal hidden structures in high-dimensional data