A density-based approach to feature detection in persistence diagrams for firn data

DOI10.3934/fods.2021012MaRDI QIDQ6154233

Yu-Min Chung, Kaitlin Keegan, Sarah L. Day, A. Lawson, Tyler Hoffman

Publication date: 14 February 2024

Published in: Foundations of Data Science (Search for Journal in Brave)

zbMATH Keywords

clusteringfeature extractiontopological data analysispaleoclimatepersistence diagramsfirn

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Persistent homology and applications, topological data analysis (55N31) Topological data analysis (62R40)

Cites Work

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• Confidence sets for persistence diagrams
• Persistence stability for geometric complexes
• Stability of persistence diagrams
• Computational homology
• Persistence diagrams with linear machine learning models
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• Topology and data
• $P$-persistent homology of finite topological spaces
• Barcodes: The persistent topology of data
• Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology

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