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

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

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...

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書目詳細資料
Main Authors:	Pun, Chi Seng, Lee, Si Xian, Xia, Kelin
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2022
主題:	Science::Mathematics Persistent Homology Machine Learning
在線閱讀:	https://hdl.handle.net/10356/161923
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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