Persistence Theory

Persistence Theory is a mathematical framework used to analyze the shape and features of complex data. It identifies structures like clusters, holes, or voids within data across different scales, highlighting which features are significant and which are likely noise. By tracking how these features appear and disappear as the scale varies, Persistence Theory helps distinguish meaningful patterns from random fluctuations, providing insights into the underlying structure of the data in a precise and robust way.