Ebook: Elements of Dimensionality Reduction and Manifold Learning
- Year: 2023
- Publisher: Springer Nature Switzerland AG
- City: Cham, Switzerland
- Edition: 1
- Language: English
- pdf
Explains the theory of fundamental algorithms in dimensionality reduction, in a step-by-step and very detailed approach.
Useful for anyone who wants to understand the ways to extract, transform, and understand the structure of data.
Appropriate as an advanced textbook, an in-depth supplementary resource, or for researchers or practitioners.
Useful for anyone who wants to understand the ways to extract, transform, and understand the structure of data.
Appropriate as an advanced textbook, an in-depth supplementary resource, or for researchers or practitioners.
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