Year: 2010
Type: article
Abstract: Context. The huge and still rapidly growing amount of galaxies in modern sky surveys raises the need for an automated and objective classification method. Unsupervised learning algorithms are of particular interest, since they discover classes automatically.
Source: Astronomy and Astrophysics
Authors: R. Andrae, P. Melchior, M. Bartelmann
Institutions: Max Planck Institute for Astronomy, Heidelberg University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W2171452380