University of Groningen
Learning Multidimensional Projections with Neural Networks Espadoto, Mateus
DOI:
10.33612/diss.166005659
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Publication date: 2021
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Espadoto, M. (2021). Learning Multidimensional Projections with Neural Networks. University of Groningen. https://doi.org/10.33612/diss.166005659
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The sheer number of existing Multidimensional Projection techniques is evidence that the problem of visualizing high-dimensional data is not solved, and might never be.
Human perception plays a great role in determining which
Multidimensional Projections are good, while existing metrics can only tell which ones are definitely bad.
In the universe of data analysis tools, Multidimensional Projections rank high both in usefulness and in not being well known outside visualization circles as they deserve to be.
Neural Networks can be used to improve existing Multidimensional Projection techniques, by adding out-of-sample capability and providing unparalleled scalability.
The recent comeback of Neural Networks disguised as Deep
Learning will have consequences to science and life that we can only speculate about.
The mind may be unlimited, but it still does not enable us to see in more than three dimensions.
Wisdom only comes with time, and only after one has done every possible mistake that could have been prevented by having that very wisdom.
"Life is a tale told by an idiot, full of sound and fury, signifying nothing" --- William Shakespeare, Macbeth
