
Maximising contrast in high dimensionality data using Supervised Principal Components
Principal Components Analysis (PCA) and its sibling Singular Value Decomposition (SVD) are commonly-used dimensionality reduction tools that can dramatically improve the performance of supervised and unsupervised machine learning algorithms. They…