Related Books
Language: en
Pages: 617
Pages: 617
Type: BOOK - Published: 2023-02-02 - Publisher: Springer Nature
Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen
Language: en
Pages: 415
Pages: 415
Type: BOOK - Published: 2011-12-20 - Publisher: CRC Press
Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dime
Language: en
Pages: 316
Pages: 316
Type: BOOK - Published: 2007-10-31 - Publisher: Springer Science & Business Media
This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, devel
Language: en
Pages: 131
Pages: 131
Type: BOOK - Published: 2020-09-15 - Publisher: Springer Nature
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applie
Language: en
Pages: 469
Pages: 469
Type: BOOK - Published: 2013-04-18 - Publisher: Springer Science & Business Media
Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of te