A topological data analysis based classification method for multiple measurements

摘要

Topological data analysis (TDA) is a recently emerging method for analyzing large-scale data using geometry and methods from algebraic topology. By considering geometric and topological features of multi-dimensional data arising from various distance metrics imposed on the data, complex relationships within the data can be preserved and jointly considered. This often leads to better results than using standard analytical tools.