Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/129753Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | André Alexandre da Silva Galvão Garcia | |
| dc.date.accessioned | 2025-11-11T22:33:05Z | - |
| dc.date.available | 2025-11-11T22:33:05Z | - |
| dc.date.issued | 2020-10-21 | |
| dc.date.submitted | 2020-11-03 | |
| dc.identifier.other | sigarra:426969 | |
| dc.identifier.uri | https://hdl.handle.net/10216/129753 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Ciências exactas e naturais | |
| dc.subject | Natural sciences | |
| dc.title | Clustering of longitudinal data: Application to COVID-19 data | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Ciências | |
| dc.identifier.doi | 10.34626/4x47-8824 | |
| dc.identifier.tid | 202623149 | |
| dc.subject.fos | Ciências exactas e naturais | |
| dc.subject.fos | Natural sciences | |
| thesis.degree.discipline | Mestrado em Engenharia Matemática | |
| thesis.degree.grantor | Faculdade de Ciências | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FCUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 426969.pdf | Clustering of longitudinal data: Application to COVID-19 data | 2.93 MB | Adobe PDF | ![]() View/Open |
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