Since 2020, aggregated from related topics
Topological data analysis is a field that combines elements of algebraic topology and computational geometry to study the shape and structure of data. It involves analyzing the relationships between data points and identifying topological features such as loops, voids, or clusters within the data. This approach allows for a deeper understanding of complex data sets and can reveal hidden patterns or structures that traditional statistical methods may overlook. Applications of topological data analysis can be found in a variety of fields, including biology, neuroscience, economics, and social sciences.