Multidimensional Data Visualization
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-1-4419-0236-8
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Citations
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Cited by:
- 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.
- Danutė Krapavickaitė, 2022. "Coherence Coefficient for Official Statistics," Mathematics, MDPI, vol. 10(7), pages 1-20, April.
- Jurgita Markevičiūtė & Jolita Bernatavičienė & Rūta Levulienė & Viktor Medvedev & Povilas Treigys & Julius Venskus, 2022. "Impact of COVID-19-Related Lockdown Measures on Economic and Social Outcomes in Lithuania," Mathematics, MDPI, vol. 10(15), pages 1-20, August.
- 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.
- Arturas Kaklauskas & Edmundas Kazimieras Zavadskas & Bjoern Schuller & Natalija Lepkova & Gintautas Dzemyda & Jurate Sliogeriene & Olga Kurasova, 2020. "Customized ViNeRS Method for Video Neuro-Advertising of Green Housing," IJERPH, MDPI, vol. 17(7), pages 1-28, March.
- Dzemyda, Gintautas & Sabaliauskas, Martynas, 2021. "Geometric multidimensional scaling: A new approach for data dimensionality reduction," Applied Mathematics and Computation, Elsevier, vol. 409(C).
- Arturas Kaklauskas & Gintautas Dzemyda & Laura Tupenaite & Ihar Voitau & Olga Kurasova & Jurga Naimaviciene & Yauheni Rassokha & Loreta Kanapeckiene, 2018. "Artificial Neural Network-Based Decision Support System for Development of an Energy-Efficient Built Environment," Energies, MDPI, vol. 11(8), pages 1-20, August.
Book Chapters
The following chapters of this book are listed in IDEAS- Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Multidimensional Data and the Concept of Visualization," Springer Optimization and Its Applications, in: Multidimensional Data Visualization, edition 127, chapter 0, pages 1-4, Springer.
- 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.
- Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Optimization-Based Visualization," Springer Optimization and Its Applications, in: Multidimensional Data Visualization, edition 127, chapter 0, pages 41-112, Springer.
- Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Combining Multidimensional Scaling with Artificial Neural Networks," Springer Optimization and Its Applications, in: Multidimensional Data Visualization, edition 127, chapter 0, pages 113-177, Springer.
- Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Applications of Visualization," Springer Optimization and Its Applications, in: Multidimensional Data Visualization, edition 127, chapter 0, pages 179-226, Springer.
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