Topological data analysis and machine learning

10.1080/23746149.2023.2202331

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Bibliographic Details
Main Authors:	Daniel Leykam, Dimitris Angelakis
Other Authors:	CENTRE FOR QUANTUM TECHNOLOGIES
Format:	Review
Published:	Taylor & Francis 2023
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/245985
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-245985
record_format	dspace
spelling	sg-nus-scholar.10635-2459852023-11-16T03:14:39Z Topological data analysis and machine learning Daniel Leykam Dimitris Angelakis CENTRE FOR QUANTUM TECHNOLOGIES 10.1080/23746149.2023.2202331 Advances in Physics: X 8 1 Jan-22 2023-11-16T03:14:38Z 2023-11-16T03:14:38Z 2023-04-29 Review Daniel Leykam, Dimitris Angelakis (2023-04-29). Topological data analysis and machine learning. Advances in Physics: X 8 (1) : Jan-22. ScholarBank@NUS Repository. https://doi.org/10.1080/23746149.2023.2202331 https://scholarbank.nus.edu.sg/handle/10635/245985 Taylor & Francis Taylor & Francis
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1080/23746149.2023.2202331
author2	CENTRE FOR QUANTUM TECHNOLOGIES
author_facet	CENTRE FOR QUANTUM TECHNOLOGIES Daniel Leykam Dimitris Angelakis
format	Review
author	Daniel Leykam Dimitris Angelakis
spellingShingle	Daniel Leykam Dimitris Angelakis Topological data analysis and machine learning
author_sort	Daniel Leykam
title	Topological data analysis and machine learning
title_short	Topological data analysis and machine learning
title_full	Topological data analysis and machine learning
title_fullStr	Topological data analysis and machine learning
title_full_unstemmed	Topological data analysis and machine learning
title_sort	topological data analysis and machine learning
publisher	Taylor & Francis
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/245985
_version_	1783955462144655360

Topological data analysis and machine learning

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