Unsupervised Machine Learning for Clustering in Political and Social Research (Bog, Paperback / softback, Engelsk)
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Unsupervised Machine Learning for Clustering in Political and Social Research

(Bog, Paperback / softback, Engelsk)
Forfatter: Philip D. (University of Chicago) Waggoner
Unsupervised Machine Learning for Clustering in Political and Social Research
Forlag: Cambridge University Press

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Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered, in addition to R code and real data to facilitate interaction with the concepts.

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Alle detaljer

Forlag Cambridge University Press
Forfatter Philip D. (University of Chicago) Waggoner
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgivelsesdato 28-01-2021
Første udgivelsesår 2021
Serie Elements in Quantitative and Computational Methods for the Social Sciences
Illustrationer Worked examples or Exercises
Originalsprog United Kingdom
Sideantal 70
Indbinding Paperback / softback
Forlag Cambridge University Press
Sideoplysninger 70 pages, Worked examples or Exercises
Mål 151 x 228 x 8
ISBN-13 / EAN-13 9781108793384