Unsupervised Machine Learning for Clustering in Political and Social Research
Waggoner Philip D. (University of Chicago)
9781108793384
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| Author(s) :- Waggoner Philip D. (University of Chicago) | Format :- Paperback |
| Publisher :- Cambridge University Press | Pub. Date :- 2020-10-31 |
| ISBN-13 :- 9781108793384 | |
| Series:- Elements in Quantitative and Computational Methods for the Social Sciences | |
| Pagination :- 75 pages, Worked examples or Exercises |
Description
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.
