Unsupervised Machine Learning for Clustering in Political and Social Research - Elements in Quantitative and Computational Methods for the Social Sciences - Waggoner, Philip D. (University of Chicago) - Books - Cambridge University Press - 9781108793384 - January 28, 2021
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Unsupervised Machine Learning for Clustering in Political and Social Research - Elements in Quantitative and Computational Methods for the Social Sciences

Waggoner, Philip D. (University of Chicago)

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Unsupervised Machine Learning for Clustering in Political and Social Research - Elements in Quantitative and Computational Methods for the Social Sciences

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.

75 pages, Worked examples or Exercises

Media Books     Paperback Book   (Book with soft cover and glued back)
Released January 28, 2021
ISBN13 9781108793384
Publishers Cambridge University Press
Pages 75
Dimensions 228 × 151 × 8 mm   ·   120 g

See all of Waggoner, Philip D. (University of Chicago) ( e.g. Paperback Book )