Topological data analysis (TDA) is a field of mathematics that studies the topological properties of data sets. Topological properties are those that are preserved under continuous deformations, such as the number of connected components or the existence of holes. TDA has been used to solve a variety of problems in machine learning, including clustering, classification, and anomaly detection.
Sounds like we should add TDA
Topological data analysis (TDA) is a field of mathematics that studies the topological properties of data sets. Topological properties are those that are preserved under continuous deformations, such as the number of connected components or the existence of holes. TDA has been used to solve a variety of problems in machine learning, including clustering, classification, and anomaly detection.