Conclusions

Sylvain Lespinats, Benoit Colange and Denys Dutykh
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Sylvain Lespinats: Grenoble Alpes University, National Institute of Solar Energy (INES)
Benoit Colange: Grenoble Alpes University, National Institute of Solar Energy (INES)
Denys Dutykh: Université Grenoble Alpes, Université Savoie Mont Blanc, Campus Scientifique, CNRS - LAMA UMR 5127

Chapter Chapter 9 in Nonlinear Dimensionality Reduction Techniques, 2022, pp 193-194 from Springer

Abstract: Abstract Dimensionality Reduction (DR) enables analysts to perform visual exploration of high dimensional data by providing a low-dimensional representation. On its own, it allows, for instance, to identify at a glance data structures such as clusters, hierarchies or outliers.

Date: 2022
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DOI: 10.1007/978-3-030-81026-9_9

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