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Strategies for Multidimensional Data Visualization

In: Multidimensional Data Visualization

Author

Listed:
  • Gintautas Dzemyda

    (Vilnius University)

  • Olga Kurasova

    (Vilnius University)

  • Julius Žilinskas

    (Vilnius University)

Abstract

In this chapter, an analytical review of methods for multidimensional data visualization is presented. The methods based on direct visualization and projections are described. Some quantitative criteria of the visualization quality are also introduced.

Suggested Citation

  • Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Strategies for Multidimensional Data Visualization," Springer Optimization and Its Applications, in: Multidimensional Data Visualization, edition 127, chapter 0, pages 5-40, Springer.
    • Handle: RePEc:spr:spochp:978-1-4419-0236-8_2
    DOI: 10.1007/978-1-4419-0236-8_2
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    Cited by:

    1. Lorena Parra-Rodríguez & Edward Reyes-Ramírez & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet & Carmen García-Peña, 2022. "Self-Organizing Maps to Multidimensionally Characterize Physical Profiles in Older Adults," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    2. Deqiang Cheng & Chunliu Gao, 2022. "Regionalization Research of Mountain-Hazards Developing Environments for the Eurasian Continent," Land, MDPI, vol. 11(9), pages 1-19, September.

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