Computational and Theoretical Issues of Multiparameter Persistent Homology for Data Analysis

SCARAMUCCIA, SARA

DOI: 10.15167/scaramuccia-sara_phd2018-05-23
Published: 2018
Container: Not recorded
Publisher: Universit� degli studi di Genova
Open access: no

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Cite this work

BibTeX

@article{allodium:10.15167/scaramuccia-sara_phd2018-05-23,
  title = {Computational and Theoretical Issues of Multiparameter Persistent Homology for Data Analysis},
  author = {SCARAMUCCIA, SARA},
  year = {2018},
  doi = {10.15167/scaramuccia-sara_phd2018-05-23},
  url = {https://doi.org/10.15167/scaramuccia-sara_phd2018-05-23}
}

RIS

TY  - JOUR
TI  - Computational and Theoretical Issues of Multiparameter Persistent Homology for Data Analysis
AU  - SCARAMUCCIA, SARA
PY  - 2018
DO  - 10.15167/scaramuccia-sara_phd2018-05-23
UR  - https://doi.org/10.15167/scaramuccia-sara_phd2018-05-23
ER  -

APA

SARA, S. (2018). Computational and Theoretical Issues of Multiparameter Persistent Homology for Data Analysis. https://doi.org/10.15167/scaramuccia-sara_phd2018-05-23

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datacite · retrieved 2026-09-27T02:10:56.774Z