About this document
PCA Explained in 3 Simple Steps by Daniel Williams is a document available to read on EtoBox.
Sebastian Raschka is a PhD candidate at Michigan State University researching highly efficient virtual screening software for computer-aided drug-discovery and novel protein ligand docking approaches. His passions include data science and machine learning, especially applying techniques like principal component analysis to discover patterns in data. This document provides an overview of principal component analysis in 3 steps: computing eigenvectors and eigenvalues, selecting principal components, and proje
- Author
- Daniel Williams
- Language
- EN