The document summarizes a graduate thesis on developing a quantitative classification method for pulse diagnosis using machine learning techniques. It discusses collecting pulse wave data, analyzing it using chaos theory and principal component analysis, and classifying the results using self-organizing maps. The goal is to establish an objective, data-driven approach to pulse diagnosis to help diagnose lifestyle diseases and reduce healthcare costs.