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Unsupervised Machine Learning for Clustering in Political and Social Research

af Philip D. Waggoner

indgår i Elements in Quantitative and Computational Methods for the Social Sciences serien

Unsupervised Machine Learning for Clustering in Political and Social Research af Philip D. Waggoner
Bag om Unsupervised Machine Learning for Clustering in Political and Social Research

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781108793384
  • Indbinding:
  • Paperback
  • Sideantal:
  • 75
  • Udgivet:
  • 28. Januar 2021
  • Størrelse:
  • 228x151x8 mm.
  • Vægt:
  • 120 g.
  • 2-3 uger.
  • 12. Oktober 2024
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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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