Clear and Compress: Computing Persistent Homology in Chunks

Bauer, Ulrich; Kerber, Michael; Reininghaus, Jan

doi:10.1007/978-3-319-04099-8_7

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Clear and Compress: Computing Persistent Homology in Chunks

Bauer, U., Kerber, M., & Reininghaus, J. (2014). Clear and Compress: Computing Persistent Homology in Chunks. In P.-T. Bremer, I. Hotz, V. Pascucci, & R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III (pp. 103-117). Cham: Springer International. doi:10.1007/978-3-319-04099-8_7.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-902C-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-9C32-7

Genre: Book Chapter

Latex : Clear and Compress: {Computing} Persistent Homology in Chunks

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Creators:
Bauer, Ulrich¹, Author
Kerber, Michael², Author
Reininghaus, Jan¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019

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Language(s): eng - English

Dates: Published Online: 2014Date issued: 2014

Publication Status: Issued

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Identifiers: DOI: 10.1007/978-3-319-04099-8_7
BibTex Citekey: BauerKerberReininghaus2014

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Title: Topological Methods in Data Analysis and Visualization III

Subtitle : Theory, Algorithms, and Applications

Source Genre: Book

Creator(s):
Bremer, Peer-Timo¹, Editor
Hotz, Ingrid¹, Editor
Pascucci, Valerio¹, Editor
Peikert, Ronald¹, Editor

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Cham : Springer International

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 103 - 117 Identifier: ISBN: 978-3-319-04098-1

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Title: Mathematics and Visualization

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1612-3786