If you make use of any of these datasets, tools, or examples in a scientific
publication, please consider citing astroML.  You may reference the following
paper:

- Introduction to astroML: Machine learning for astrophysics

  http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6382200&tag=1

Bibtex entry:

@INPROCEEDINGS{astroML,
  author={{Vanderplas}, J.T. and {Connolly}, A.J.
          and {Ivezi{\'c}}, {\v Z}. and {Gray}, A.},
  booktitle={Conference on Intelligent Data Understanding (CIDU)},
  title={Introduction to astroML: Machine learning for astrophysics},
  month={oct.},
  pages={47 -54},
  doi={10.1109/CIDU.2012.6382200},
  year={2012}
}

You may also reference the accompanying textbook:


Statistics, Data Mining, and Machine Learning for Astronomy
http://press.princeton.edu/titles/10159.html

Bibtex entry:

@BOOK{astroMLText,
  title={Statistics, Data Mining and Machine Learning in Astronomy},
  author={{Ivezi{\'c}}, {\v Z}. and {Connolly}, A.J.
          and {Vanderplas}, J.T. and {Gray}, A.},
  publisher={Princeton University Press},
  location={Princeton, NJ},
  year={2014}
}

