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Fundamentals of data analytics: with a view to machine learning
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are deriv...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-56831-3 http://cds.cern.ch/record/2740528 |