Schlagwort(e):
Atmospheric sciences.
;
Data mining.
;
Climate.
;
Pattern recognition.
;
Environment.
;
Klimatologie
;
Meteorologie
;
Big Data
;
Data Mining
;
Meteorologische Messung
;
Mustererkennung
;
Allgemeine atmosphärische Zirkulation
;
Großwetterlage
;
Datenanalyse
;
Datenauswertung
;
Telekonnektion
;
Orthogonale Funktionen
;
Klima
;
Wetter
;
Maschinelles Lernen
;
Spektralanalyse
Beschreibung / Inhaltsverzeichnis:
Chapter 1 Introduction -- Chapter 2 General Setting and Basic Terminology -- Chapter 3 Empirical Orthogonal Functions -- Chapter 4 Rotated and Simplified EOFs -- Chapter 5 Complex/Hilbert EOFs -- Chapter 6 Principal Oscillation Patterns and their extension -- Chapter 7 Extended EOFs and SSA -- Chapter 8 Persistent, Predictive, and Interpolated Patterns -- Chapter 9 Principal Coordinates or Multidimensional Scaling -- Chapter 10 Factor Analysis -- Chapter 11 Projection Pursuit -- Chapter 12 Independent Component Analysis -- Chapter 13 Kernel EOFs -- Chapter 14 Functional and Regularised EOFs -- Chapter 15 Methods for Coupled Patterns -- Chapter 16 Further topics -- Chapter 17 Machine Learning -- Appendix A Smoothing Techniques -- Appendix B Introduction to Probability and Random Variables.-Appendix C Stationary Time Series Analysis.-Appendix D Matrix Algebra and Matrix Function -- Appendix E Optimisation Algorithms -- Appendix F Hilbert Space -- Appendix G Systems of Linear Ordinary Differential Equations -- Appendix H Links for Software Resource Material -- Index.
Materialart:
Online-Ressource
Seiten:
1 Online-Ressource(XXIV, 600 p. 201 illus., 79 illus. in color.)
Ausgabe:
1st ed. 2021.
ISBN:
9783030670733
Serie:
Springer Atmospheric Sciences
URL:
https://doi.org/10.1007/978-3-030-67073-3
URL:
https://swbplus.bsz-bw.de/bsz1759344796cov.jpg
DOI:
10.1007/978-3-030-67073-3
Sprache:
Englisch
Permalink
