Skip to main content
SpringerLink
Log in

Comments on: Distance geometry and data science

  • Discussion
  • Published:
TOP Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  • Carrizosa E, Guerrero V, Romero Morales D (2017) Visualizing proportions and dissimilarities by space-filling maps: a large neighborhood search approach. Comput Operat Res 78:369–380

    Article  Google Scholar 

  • Carrizosa E, Guerrero V, Hardt D, Romero Morales D (2018a) On building online visualization maps for news data streams by means of mathematical optimization. Big Data 6(2):139–158

    Article  Google Scholar 

  • Carrizosa E, Guerrero V, Romero Morales D (2018b) Visualizing data as objects by DC (difference of convex) optimization. Math Program 169:119–140

    Article  Google Scholar 

  • Carrizosa E, Guerrero V, Romero Morales D (2019) Visualization of complex dynamic datasets by means of mathematical optimization. Omega 86:125–136

    Article  Google Scholar 

  • Chaudhuri P (1996) On a geometric notion of quantiles for multivariate data. J Am Stat Assoc 91:862–872

    Article  Google Scholar 

  • Plastria F (1992) On destination optimality in asymmetric distance Fermat-Weber problems. Ann Oper Res 40:355–369

    Article  Google Scholar 

Download references

Acknowledgements

Funded by FQM-329 and P18-FR-2369, Junta de Andalucía, Spain, both with ERD Funds, and EU H2020 MSCA RISE NeEDS Project 822214. The support is gratefully acknowledged.

Author information

Authors and Affiliations

  1. IMUS, Instituto de Matemáticas de la Universidad de Sevilla, Seville, Spain

    Emilio Carrizosa

Authors
  1. Emilio Carrizosa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emilio Carrizosa.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This comment refers to the invited paper available at https://doi.org/10.1007/s11750-020-00563-0.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Carrizosa, E. Comments on: Distance geometry and data science. TOP 28, 346–347 (2020). https://doi.org/10.1007/s11750-020-00562-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11750-020-00562-1

Search

Navigation