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

• المؤلفون الرئيسيون: Pun, Chi Seng, Lee, Si Xian, Xia, Kelin
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Science::Mathematics; Persistent Homology; Machine Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161923

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...