A kernel for multi-parameter persistent homology

•We propose the first kernel construction for multi-parameter persistent homology.•Our kernel is generic, stable and can be approximated in polynomial time.•Connect topological data analysis and machine learning for multivariate analysis.•Our technique is applicable to shape analysis, recognition an...

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Bibliographic Details

Published in:	Computers & graphics. X Vol. 2; p. 100005
Main Authors:	Corbet, René, Fugacci, Ulderico, Kerber, Michael, Landi, Claudia, Wang, Bei
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2019
Subjects:	Machine learning Multivariate analysis Persistent homology Topological data analysis Persistent homology Multivariate analysis Topological data analysis Machine learning Persistent Homology Multivariate Analysis Machine Learning Topological Data Analysis
ISSN:	2590-1486, 2590-1486
Online Access:	Get full text
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