Persistent homology is a concept from algebraic topology that provides a way to study the shape of data across multiple scales. It is particularly useful in fields such as topological data analysis (TDA) because it allows researchers to capture and analyze the topological features of multidimensional datasets while incorporating the notion of scale.
New to topics? Read the docs here!