Unsupervised Machine Learning for Clustering in Political and Social Research

Autori

• Philip D Waggoner

Parametri

• Computer, IT, programmazione
• Tecnologia e Ingegneria

Maggiori informazioni sul libro

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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Lingua: Inglese

Pubblicato: 2021

(In brossura)