Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 30,28
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2021. Paperback. . . . . .
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 26,12
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 24,31
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 75.
Editore: Cambridge University Press 1/28/2021, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 24,39
Convertire valutaQuantità: 5 disponibili
Aggiungi al carrelloPaperback or Softback. Condizione: New. Unsupervised Machine Learning for Clustering in Political and Social Research 0.23. Book.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 26,09
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 36,40
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 22,01
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 22,01
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 31,08
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 75.
Da: moluna, Greven, Germania
EUR 29,40
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 32,99
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 75.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 30,79
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 75 pages. 8.94x5.91x0.28 inches. In Stock.
Editore: Cambridge University Press Jan 2021, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 27,79
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 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.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 25,69
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press 2020-10-31, 2020
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 23,10
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 29,77
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 31,00
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 39,46
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 22,29
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 29,05
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 25,70
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 140.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 21,33
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 75 pages. 8.94x5.91x0.28 inches. In Stock. This item is printed on demand.