Research Crafts: Ole Christian Lingjærde - multivariate data analysis with persistent homology

Persistent homology is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of input data, independent of dimensions and coordinates, and provides a compact representation of the qualitative features of the input. This talk by Ole Christian Lingjærde will give a brief introduction to the key concepts of persistent homology with examples.

Published Apr. 28, 2022 9:56 PM - Last modified Apr. 28, 2022 9:56 PM