Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey
This thesis is to generate time series to understand the temporal variability of stars in these astronomical regions, followed by their classification using semi-supervised machine learning techniques.
- Autores:
-
Cárdenas Uribe, Camila
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/74370
- Acceso en línea:
- https://hdl.handle.net/1992/74370
- Palabra clave:
- Astronomy
Clustering
VVV survey
Machine learning
Variable Star
Variability
Milky Way
Física
- Rights
- openAccess
- License
- Attribution-NoDerivatives 4.0 International