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Multivariate Data Analysis on Matrix Manifolds: (with Manopt)
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Integrates multivariate data analysis with Riemannian geometry Provides a unified treatment of several MDA techniques Incorporates new tools and technology into current theory of MDA Includes Manpot codes which can be directly used to solve a number of problems or be used as templates to create new codes
Integrates multivariate data analysis with Riemannian geometry Provides a unified treatment of several MDA techniques Incorporates new tools and technology into current theory of MDA Includes Manpot codes which can be directly used to solve a number of problems or be used as templates to create new codes
Additional information
| Book Format | Hardcover, Softcover |
|---|
Book information
Edition
1st Edition
ISBN [Hardcover]
9783030769734
ISBN [Softcover]
9783030769765
Publisher
Springer
Year
2021
Pages
XX, 450 p.
Series Title
Springer Series in the Data Sciences
Language
English

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