Free Access
Volume 612, April 2018
Article Number A98
Number of page(s) 56
Section Numerical methods and codes
Published online 04 May 2018
  1. Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 [NASA ADS] [CrossRef] [Google Scholar]
  2. Allende Prieto, C., Beers, T. C., Li, Y., et al. 2004, Origin and Evolution of the Elements [arXiv:arXiv:astro-ph/0304352] [Google Scholar]
  3. Allende Prieto, C., Beers, T. C., Wilhelm, R., et al. 2006, ApJ, 636, 804 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bailer-Jones, C. A. L. 2002, in Automated Data Analysis in Astronomy (New Delhi, London:Narosa Pub. House), eds. R. Gupta, H. P. Singh, & C. A. L. Bailer-Jones, 83 [Google Scholar]
  5. Bailer-Jones, C. A. L., Irwin, M., & von Hippel, T. 1998, MNRAS, 298, 361 [NASA ADS] [CrossRef] [Google Scholar]
  6. Bensby, T., Feltzing, S., & Lundström, I. 2003, A&A, 410, 527 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Bensby, T., Zenn, A. R., Oey, M. S., & Feltzing, S. 2007, ApJ, 663, L13 [CrossRef] [Google Scholar]
  8. Binney, J., & Merrifield, M. 1998, Galactic Astronomy (Princeton: Princeton University Press) [Google Scholar]
  9. Blanton, M. R., Bershady, M. A., Abolfathi, B., et al. 2017, AJ, 154, 28 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bovy, J., Nidever, D. L., Rix, H.-W., et al. 2014, ApJ, 790, 127 [NASA ADS] [CrossRef] [Google Scholar]
  11. Caliński, T., & Harabasz, J. 1974, Commun. Stat. Theory Methods, 3, 1 [CrossRef] [MathSciNet] [Google Scholar]
  12. Daniel, S. F., Connolly, A., Schneider, J., Vanderplas, J., & Xiong, L. 2011, AJ, 142, 203 [NASA ADS] [CrossRef] [Google Scholar]
  13. Eisenstein, D. J., Annis, J., Gunn, J. E., et al. 2001, AJ, 122, 2267 [NASA ADS] [CrossRef] [Google Scholar]
  14. Everitt, B., & Dunn, G. 1992, Science, 257, 1293 [NASA ADS] [CrossRef] [Google Scholar]
  15. Gaia Collaboration (Brown, A. G. A., et al.) 2016, A&A, 595, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. García Pérez, A. E., Allende Prieto, C., Holtzman, J. A., et al. 2016, AJ, 151, 144 [NASA ADS] [CrossRef] [Google Scholar]
  17. Giridhar, S., Muneer, S., & Goswami, A. 2006, Mem. Soc. Astron. It., 77, 1130 [NASA ADS] [Google Scholar]
  18. Gordon, A. D. 1998, in Data science, classification, and related methods (Tokyo: Springer), 22 [Google Scholar]
  19. Gressler, W., DeVries, J., Hileman, E., et al. 2014, in Ground-based and Airborne Telescopes V, Proc. SPIE, 9145, 91451A [Google Scholar]
  20. Holtzman, J. A., Shetrone, M., Johnson, J. A., et al. 2015, AJ, 150, 148 [NASA ADS] [CrossRef] [Google Scholar]
  21. Jain, A. K. 2010, Pattern Recognit. Lett., 31, 651 [Google Scholar]
  22. MacQueen, J. et al. 1967, in Proc. Fifth Berkeley Symposium on Mathematical Statistics and Probability (Berkeley: University of California Press), 1, 281 [Google Scholar]
  23. Majewski, S. R., Schiavon, R. P., Frinchaboy, P. M., et al. 2017, AJ, 154, 94 [NASA ADS] [CrossRef] [Google Scholar]
  24. Manteiga, M., Carricajo, I., Rodríguez, A., Dafonte, C., & Arcay, B. 2009, AJ, 137, 3245 [NASA ADS] [CrossRef] [Google Scholar]
  25. Morales-Luis, A. B., Sánchez Almeida, J., Aguerri, J. A. L., & Muñoz-Tuñón C. 2011, ApJ, 743, 77 [NASA ADS] [CrossRef] [Google Scholar]
  26. Navarro, S. G., Corradi, R. L. M., & Mampaso, A. 2012, A&A, 538, A76 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Nidever, D. L., Holtzman, J. A., Allende Prieto, C., et al. 2015, AJ, 150, 173 [NASA ADS] [CrossRef] [Google Scholar]
  28. Payne, C. H. 1925, Ph.D. thesis, Radcliffe College [Google Scholar]
  29. Reis, I., Poznanski, D., Baron, D., Zasowski, G., & Shahaf, S. 2018, MNRAS, 476, 2117 [Google Scholar]
  30. Rodríguez, A., Arcay, B., Dafonte, C., Manteiga, M., & Carricajo, I. 2004, Expert Systems with Applications, 27, 237 [Google Scholar]
  31. Rousseeuw, P. J., & Kaufman, L. 1990, Finding Groups in Data (Wiley Online Library) [Google Scholar]
  32. Sakari, C. M., Shetrone, M. D., Schiavon, R. P., et al. 2016, ApJ, 829, 116 [NASA ADS] [CrossRef] [Google Scholar]
  33. Sánchez Almeida, J., & Allende Prieto C. 2013, ApJ, 763, 50 [NASA ADS] [CrossRef] [Google Scholar]
  34. Sánchez Almeida, J., Aguerri, J. A. L., Muñoz-Tuñón, C., & Vazdekis, A. 2009, ApJ, 698, 1497 [NASA ADS] [CrossRef] [Google Scholar]
  35. Sánchez Almeida, J., Aguerri, J. A. L., Muñoz-Tuñón, C., & de Vicente A. 2010, ApJ, 714, 487 [NASA ADS] [CrossRef] [Google Scholar]
  36. Sánchez Almeida, J., Pérez-Montero, E., Morales-Luis, A. B., et al. 2016, ApJ, 819, 110 [NASA ADS] [CrossRef] [Google Scholar]
  37. SDSS Collaboration (Albareti, F. D. et al.) 2017, ApJS, 233, 25 [NASA ADS] [CrossRef] [Google Scholar]
  38. Singh, H. P., Gulati, R. K., & Gupta, R. 1998, MNRAS, 295, 312 [NASA ADS] [CrossRef] [Google Scholar]
  39. Tibshirani, R., Walther, G., & Hastie, T. 2001, J. Royal Stat. Soc. B (Statistical Methodology), 63, 411 [Google Scholar]
  40. van Saders, J. L., & Pinsonneault, M. H. 2013, ApJ, 776, 67 [NASA ADS] [CrossRef] [Google Scholar]
  41. Vanderplas, J., & Connolly, A. 2009, AJ, 138, 1365 [NASA ADS] [CrossRef] [Google Scholar]
  42. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Wilson, J. C., Hearty, F., Skrutskie, M. F., et al. 2010, in Ground-based and Airborne Instrumentation for Astronomy III, Proc. SPIE, 7735, 77351C [CrossRef] [Google Scholar]
  44. Wilson, J. C., Hearty, F., Skrutskie, M. F., et al. 2012, in Ground-based and Airborne Instrumentation for Astronomy IV, Proc. SPIE, 8446, 84460H [CrossRef] [Google Scholar]
  45. Wolpert, D. H. 1996, Neural Comput., 8, 1341 [CrossRef] [Google Scholar]
  46. Zamora, O., García-Hernández, D. A., Allende Prieto, C., et al. 2015, AJ, 149, 181 [NASA ADS] [CrossRef] [Google Scholar]
  47. Zasowski, G., Johnson, J. A., Frinchaboy, P. M., et al. 2013, AJ, 146, 81 [NASA ADS] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.