Predicción de alineaciones en la NBA con base en el clustering previo de jugadores y sus características
In this paper the purpose was to predict the Net Rating of a NBA lineup, based on on the clustering of its players, in order to find the best player combination. These was made with different machine learning techniques like: gaussian mixture models, random forest, SVR, etc.
- Autores:
-
Rojas Díaz, Felipe
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/51542
- Acceso en línea:
- http://hdl.handle.net/1992/51542
- Palabra clave:
- Aprendizaje automático (Inteligencia artificial)
Análisis de regresión
Análisis cluster
Jugadores de baloncesto
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | In this paper the purpose was to predict the Net Rating of a NBA lineup, based on on the clustering of its players, in order to find the best player combination. These was made with different machine learning techniques like: gaussian mixture models, random forest, SVR, etc. |
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