Open Problems in Spectral Dimensionality Reduction

Harry Strange, Reyer Zwiggelaar (Autoren)

Buch | Softcover

IX, 92 Seiten

2014 | 2014
Springer International Publishing (Verlag)
978-3-319-03942-8 (ISBN)

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The last few years have seen a great increase in the amount of data available to scientists, yet many of the techniques used to analyse this data cannot cope with such large datasets. Therefore, strategies need to be employed as a pre-processing step to reduce the number of objects or measurements whilst retaining important information. Spectral dimensionality reduction is one such tool for the data processing pipeline. Numerous algorithms and improvements have been proposed for the purpose of performing spectral dimensionality reduction, yet there is still no gold standard technique. This book provides a survey and reference aimed at advanced undergraduate and postgraduate students as well as researchers, scientists, and engineers in a wide range of disciplines. Dimensionality reduction has proven useful in a wide range of problem domains and so this book will be applicable to anyone with a solid grounding in statistics and computer science seeking to apply spectral dimensionality to their work.

Introduction.- Spectral Dimensionality Reduction.- Modelling the Manifold.- Intrinsic Dimensionality.- Incorporating New Points.- Large Scale Data.- Postcript.

Erscheint lt. Verlag	21.1.2014
Reihe/Serie	SpringerBriefs in Computer Science
Zusatzinfo	IX, 92 p. 20 illus., 15 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	172 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Algorithm analysis and problem complexity • Big Data • data structures • machine learning • Manifold Learning Algorithms • Nonlinear Dimensionality Reduction (NLDR) • Principal Component Analysis (PCA)
ISBN-10	3-319-03942-3 / 3319039423
ISBN-13	978-3-319-03942-8 / 9783319039428
Zustand	Neuware