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Unsupervised Machine Learning for Clustering in Political and Social Research

By: Philip D. (University of Chicago) Waggoner (Author)

1 in stock

Ksh 4,100.00

Format: Paperback or Softback

ISBN-13: 9781108793384

Publisher: Cambridge University Press

Publication Date: Jan 28th, 2021

Weight: 120 grams

Dimension: 15.10 x 22.80 x 0.80 cms

Category: Coding theory & cryptology

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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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