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Unsupervised Machine Learning for Clustering in Political and Social Research

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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

Jazyk
Rok vydání
2021
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Titul
Unsupervised Machine Learning for Clustering in Political and Social Research
Jazyk
anglicky
Rok vydání
2021
Vazba
měkká
ISBN10
110879338X
ISBN13
9781108793384
Série
Anotace
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.