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Home All issues Volume 599 (March 2017) A&A, 599 (2017) A143 References
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Issue
A&A
Volume 599, March 2017
Article Number A143
Number of page(s) 14
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201629719
Published online 16 March 2017
  1. Ankerst, M., Breunig, M. M., peter Kriegel, H., & Sander, J. 1999, in Optics: Ordering points to identify the clustering structure (ACM Press), 49 [Google Scholar]
  2. Behroozi, P. S., Wechsler, R. H., & Conroy, C. 2013, ApJ, 770, 57 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bullock, J. S., & Johnston, K. V. 2005, ApJ, 635, 931 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bullock, J. S., Kravtsov, A. V., & Weinberg, D. H. 2001, ApJ, 548, 33 [NASA ADS] [CrossRef] [Google Scholar]
  5. de Bruijne, J. 2012, Astrophys. Space Sci., 341, 31 [NASA ADS] [CrossRef] [Google Scholar]
  6. de Bruijne, J., Perryman, M., Lindegren, L., et al. 2005, Gaia astrometic, photometirc, and radial velocity performance assessment methodologies to be used by the industrial system-level teams, Tech. Rep. (European Space Agency) [Google Scholar]
  7. Diemand, J., Kuhlen, M., & Madau, P. 2006, ApJ, 649, 1 [NASA ADS] [CrossRef] [Google Scholar]
  8. Elahi, P. J., Han, J., Lux, H., et al. 2013, MNRAS, 433, 1537 [NASA ADS] [CrossRef] [Google Scholar]
  9. Font, A. S., Johnston, K. V., Bullock, J. S., & Robertson, B. E. 2006a, ApJ, 638, 585 [NASA ADS] [CrossRef] [Google Scholar]
  10. Font, A. S., Johnston, K. V., Bullock, J. S., & Robertson, B. E. 2006b, ApJ, 646, 886 [NASA ADS] [CrossRef] [Google Scholar]
  11. Helmi, A. 2008, A&ARv, 15, 145 [CrossRef] [Google Scholar]
  12. Hennig, C. 2007, Comput. Statist. Data Analysis, 52, 258 [CrossRef] [Google Scholar]
  13. Hofmans, J., Ceulemans, E., Steinley, D., & Van Mechelen, I. 2015, J. Classification, 32, 268 [CrossRef] [Google Scholar]
  14. Ibata, R. A., Gilmore, G., & Irwin, M. J. 1994, Nature, 370, 194 [NASA ADS] [CrossRef] [Google Scholar]
  15. Ivezić, Ž., Monet, D. G., Bond, N., et al. 2008, in A Giant Step: from Milli- to Micro-arcsecond Astrometry, eds. W. J. Jin, I. Platais, & M. A. C. Perryman, IAU Symp., 248, 537 [Google Scholar]
  16. Johnston, K. V., Hernquist, L., & Bolte, M. 1996, ApJ, 465, 278 [NASA ADS] [CrossRef] [Google Scholar]
  17. Jordi, C., Gebran, M., Carrasco, J. M., et al. 2010, A&A, 523, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Keller, S. C., Schmidt, B. P., Bessell, M. S., et al. 2007, PASA, 24, 1 [NASA ADS] [CrossRef] [Google Scholar]
  19. Knebe, A., Knollmann, S. R., Muldrew, S. I., et al. 2011, MNRAS, 415, 2293 [NASA ADS] [CrossRef] [Google Scholar]
  20. Kriegel, H., & Pfeifle, M. 2005, in Proc. Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21–24, 672 [Google Scholar]
  21. Maciejewski, M., Colombi, S., Springel, V., Alard, C., & Bouchet, F. R. 2009, MNRAS, 396, 1329 [NASA ADS] [CrossRef] [Google Scholar]
  22. Mucha, H.-J., Bartel, H.-G., e. L. B., Krolak-Schwerdt, S., & Bøhmer, M. 2015, Resampling Techniques in Cluster Analysis: Is Subsampling Better Than Bootstrapping? (Berlin, Heidelberg: Springer Berlin Heidelberg), 113 [Google Scholar]
  23. Perryman, M. A. C. 2002, Ap&SS, 280, 1 [NASA ADS] [CrossRef] [Google Scholar]
  24. Pfitzner, D. W., Salmon, J. K., & Sterling, T. 1997, Data Mining and Knowledge Discovery, 1, 419 [CrossRef] [Google Scholar]
  25. Robertson, B., Bullock, J. S., Font, A. S., Johnston, K. V., & Hernquist, L. 2005, ApJ, 632, 872 [NASA ADS] [CrossRef] [Google Scholar]
  26. Sander, J. o., Qin, X., Lu, Z., Niu, N., & Kovarsky, A. 2003, in Proc. 7th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD ’03 (Berlin, Heidelberg: Springer-Verlag), 75 [Google Scholar]
  27. Sharma, S., & Johnston, K. V. 2009, ApJ, 703, 1061 [NASA ADS] [CrossRef] [Google Scholar]
  28. Springel, V., White, S. D. M., Tormen, G., & Kauffmann, G. 2001, MNRAS, 328, 726 [NASA ADS] [CrossRef] [Google Scholar]

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