Name: Open Problems in Spectral Dimensionality Reduction (Springerbriefs in Computer Science) (en Inglés)
Price: 1371.11 MXN
Availability: InStock
Author: Harry Strange; Reyer Zwiggelaar
ISBN: 9783319039428

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portada Open Problems in Spectral Dimensionality Reduction (Springerbriefs in Computer Science) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Harry Strange; Reyer Zwiggelaar

Año

2014

Idioma

Inglés

N° páginas

104

Encuadernación

Tapa Blanda

ISBN13

9783319039428

N° edición

2014

Categorías

Inteligencia artificial

Open Problems in Spectral Dimensionality Reduction (Springerbriefs in Computer Science) (en Inglés)

Harry Strange; Reyer Zwiggelaar (Autor) · Springer · Tapa Blanda

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Reseña del libro "Open Problems in Spectral Dimensionality Reduction (Springerbriefs in Computer Science) (en Inglés)"

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.