
Carla Federica Melia
Topological Data Analysis and Persistent Homology.
Rel. Francesco Vaccarino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Matematica, 2018
|
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (11MB) | Preview |
|
![]() |
Archive (ZIP) (Documenti_allegati)
- Other
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) |
Abstract: |
This dissertation provides a concise but satisfying explanation of fundamentals and main topics of Topological Data Analysis and Persistent Homology. A discussion regarding the robustness of the inferred features, as well as a real case study, have also been included. |
---|---|
Relators: | Francesco Vaccarino |
Academic year: | 2018/19 |
Publication type: | Electronic |
Number of Pages: | 132 |
Subjects: | |
Corso di laurea: | Corso di laurea magistrale in Ingegneria Matematica |
Classe di laurea: | New organization > Master science > LM-44 - MATHEMATICAL MODELLING FOR ENGINEERING |
Aziende collaboratrici: | UNSPECIFIED |
URI: | http://webthesis.biblio.polito.it/id/eprint/9909 |
![]() |
Modify record (reserved for operators) |