Persistent-homology-based machine learning: a survey and a comparative study

• Main Authors: Pun, Chi Seng, Lee, Si Xian, Xia, Kelin
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Mathematics; Persistent Homology; Machine Learning
• Online Access: https://hdl.handle.net/10356/161923
• Institution: Nanyang Technological University

A suitable feature representation that can both preserve the data intrinsic information and reduce data complexity and dimensionality is key to the performance of machine learning models. Deeply rooted in algebraic topology, persistent homology (PH) provides a delicate balance between data simplific...