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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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Unsupervised Machine Learning for Clustering in Political and Social Research, Philip D Waggoner
- Lingua
- Pubblicato
- 2021
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- Titolo
- Unsupervised Machine Learning for Clustering in Political and Social Research
- Lingua
- Inglese
- Autori
- Philip D Waggoner
- Editore
- Cambridge University Press
- Pubblicato
- 2021
- Formato
- In brossura
- ISBN10
- 110879338X
- ISBN13
- 9781108793384
- Serie
- Descrizione
- 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.