Isbn: 9781108793384 - unsupervised machine learning for clustering in political and social research (elements in quantitative and computational methods for the social sciences)

Condición: New. 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 addi.

Unsupervised Machine Learning for Clustering in Political and Social Research

Philip D. Waggoner

Idioma: Inglés

Editorial: Cambridge University Press, 2021

110879338X / 9781108793384

Serie: Libro 8 de 16 - Elements in Quantitative and Computational Methods for the Social Sciences

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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

Waggoner, Philip D.

Idioma: Inglés

Editorial: Cambridge University Press, 2021

110879338X / 9781108793384

Serie: Libro 8 de 16 - Elements in Quantitative and Computational Methods for the Social Sciences

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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Condición: New. Print on Demand pp. 75.

Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

Waggoner, Philip D.

Idioma: Inglés

Editorial: Cambridge University Press, 2021

110879338X / 9781108793384

Serie: Libro 8 de 16 - Elements in Quantitative and Computational Methods for the Social Sciences

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Condición: New. PRINT ON DEMAND pp. 75.

Unsupervised Machine Learning for Clustering in Political and Social Research (Paperback)

Philip D. Waggoner

Idioma: Inglés

Editorial: Cambridge University Press, Cambridge, 2021

110879338X / 9781108793384

Serie: Libro 8 de 16 - Elements in Quantitative and Computational Methods for the Social Sciences

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Paperback. Condición: new. Paperback. In the age of data-driven problem-solving, applying sophisticated computational tools for explaining substantive phenomena is a valuable skill. Yet, application of methods assumes an understanding of the data, structure, and patterns that influence the broader research program. This Element 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 this Element, in addition to R code and real data to facilitate interaction with the concepts. Upon setting the stage for clustering, the following algorithms are detailed: agglomerative hierarchical clustering, k-means clustering, Gaussian mixture models, and at a higher-level, fuzzy C-means clustering, DBSCAN, and partitioning around medoids (k-medoids) clustering. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Unsupervised Machine Learning for Clustering in Political and Social Research

Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

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Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

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Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

Unsupervised Machine Learning for Clustering in Political and Social Research

Unsupervised Machine Learning for Clustering in Political and Social Research

Unsupervised Machine Learning for Clustering in Political and Social Research

Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

Unsupervised Machine Learning for Clustering in Political and Social Research

Unsupervised Machine Learning for Clustering in Political and Social Research

Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)

Unsupervised Machine Learning for Clustering in Political and Social Research (Paperback)