Linear Dimensionality Reduction

An Approach Based on Scatter Matrices

Klaus Nordhausen, Hannu Oja (Autoren)

Buch | Hardcover

420 Seiten

2021
John Wiley & Sons Inc (Verlag)
978-1-118-49462-2 (ISBN)

Infos

In almost all fields of applications, statisticians are confronted with highly complex data sets with large dimensions. Dimension reduction methods naturally provide a better understanding of the data and reveal hidden structures. The book provides tools with a unifying statistical theory to recover hidden structures, latent variables, or latent subspaces in multivariate and dependent data. Throughout the book, the theory is illustrated with examples on practical data sets.

Produkt-Details

• Erscheinungsdatum: 28.10.2019
• Reihe/Serie: Wiley Series in Probability and Statistics
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• ISBN-10: 1-118-49462-8 / 1118494628
• ISBN-13: 978-1-118-49462-2 / 9781118494622
• Zustand: Neuware