Cargando…
Astronomy and big data: a data clustering approach to identifying uncertain galaxy morphology
With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing h...
| Autores principales: | , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Springer
2014
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-06599-1 http://cds.cern.ch/record/1702349 |