portada Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences) (en Inglés)

Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences) (en Inglés)

Formato

Libro Físico

Autor

Philip D. Waggoner

Editorial

Cambridge University Press

Año

2021

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.5 cm

Peso

0.14 kg.

ISBN13

9781108986892

Categorías

Ciencias políticas y teoría

Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences) (en Inglés)

Philip D. Waggoner (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences) (en Inglés)"

Data are not only ubiquitous in society, but are increasingly complex both in size and dimensionality. Dimension reduction offers researchers and scholars the ability to make such complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques along with hundreds of lines of R code, to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace. Launching from the earliest dimension reduction technique principal components analysis and using real social science data, I introduce and walk readers through application of the following techniques: locally linear embedding, t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection, self-organizing maps, and deep autoencoders. The result is a well-stocked toolbox of unsupervised algorithms for tackling the complexities of high dimensional data so common in modern society. All code is publicly accessible on Github.