Soft clustering analysis of galaxy morphologies: A worked example with SDSS

  title={Soft clustering analysis of galaxy morphologies: A worked example with SDSS},
  author={Ren{\'e} Andrae and Peter Melchior and Matthias Bartelmann},
  journal={Astronomy and Astrophysics},
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. Aims. We briefly discuss the pitfalls of oversimplified classification methods and outline an alternative approach called “clustering analysis”. Methods. We have categorised different classification methods according to their capabilities… 

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