Nonlinear Dimensionality Reduction Techniques

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

in Springer Books from Springer

Date: 2022
ISBN: 978-3-030-81026-9
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Chapters in this book:

Ch Chapter 1 Data Science Context

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 2 Intrinsic Dimensionality

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 3 Map Evaluation

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 4 Map Interpretation

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 5 Stress Functions for Unsupervised Dimensionality Reduction

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 6 Stress Functions for Supervised Dimensionality Reduction

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 7 Optimization, Acceleration and Out of Sample Extensions

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 8 Applications of Dimensionality Reduction to the Diagnosis of Energy Systems

Sylvain Lespinats, Benoit Colange and Denys Dutykh

Ch Chapter 9 Conclusions

Sylvain Lespinats, Benoit Colange and Denys Dutykh

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DOI: 10.1007/978-3-030-81026-9

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