TY  - GEN 
AU  - Amar Lesmes, Andrés Felipe
PY  - 2020
UR  - http://hdl.handle.net/1992/51274
AB  - El objetivo principal de este proyecto es caracterizar cúmulos abiertos en la Vía Láctea por medio de aprendizaje automático no supervisado usando el algoritmo de agrupamiento Density-based spatial clustering of applications with noise (DBSCAN),...
AB  - The main intention of this project is to characterize open clusters of the Milky Way via unsupervised machine learning with the clustering algorithm density-based spatial clustering of applications with noise (DBSCAN), the data used was retrieved from...
LA  - eng
PB  - Universidad de los Andes
TI  - Cluster analysis and unsupervised machine learning applied to find open star clusters in the Milky Way
ER  -