APA (7th ed.) Citation

Liu, S., Bremer, P., Jayaraman, J. J., Wang, B., Summa, B., & Pascucci, V. (2016). The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data. Computer graphics forum, 35(3), 1-10. https://doi.org/10.1111/cgf.12876

Chicago Style (17th ed.) Citation

Liu, S., P.-T Bremer, J. J. Jayaraman, B. Wang, B. Summa, and V. Pascucci. "The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data." Computer Graphics Forum 35, no. 3 (2016): 1-10. https://doi.org/10.1111/cgf.12876.

MLA (9th ed.) Citation

Liu, S., et al. "The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data." Computer Graphics Forum, vol. 35, no. 3, 2016, pp. 1-10, https://doi.org/10.1111/cgf.12876.