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Carte Visual Knowledge Discovery and Machine Learning Boris Kovalerchuk

Visual Knowledge Discovery and Machine Learning

Autor: Boris Kovalerchuk
Limbă: engleză
Legare: Carte broșată
Editura: Springer International Publishing AG
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
933.59 lei
This book combines the advantages of high-dimensional data visualization and machine learning in the...

Informații despre carte

Autor
Boris Kovalerchuk
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2019
Pagini
317
EAN
9783319892306
Enbook ID
21145360
Editura
Springer International Publishing AG
Greutate
522
Dimensiuni
155 x 235 x 19

Descriere completă

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.

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