Manifold Learning Theory and Applications

Manifold Learning Theory and Applications
Author: Yunqian Ma
Publisher: CRC Press
Total Pages: 410
Release: 2011-12-20
Genre: Business & Economics
ISBN: 1466558873
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Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread


Manifold Learning Theory and Applications
Language: en
Pages: 410

Manifold Learning Theory and Applications

Authors: Yunqian Ma
Categories: Business & Economics
Type: BOOK - Published: 2011-12-20 - Publisher: CRC Press

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Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dime
Python Data Science Handbook
Language: en
Pages: 743

Python Data Science Handbook

Authors: Jake VanderPlas
Categories: Computers
Type: BOOK - Published: 2016-11-21 - Publisher: "O'Reilly Media, Inc."

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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources e
Mathematics for Machine Learning
Language: en
Pages: 392

Mathematics for Machine Learning

Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Modern Multidimensional Scaling
Language: en
Pages: 469

Modern Multidimensional Scaling

Authors: Ingwer Borg
Categories: Mathematics
Type: BOOK - Published: 2013-04-18 - Publisher: Springer Science & Business Media

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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
Elements of Dimensionality Reduction and Manifold Learning
Language: en
Pages: 617

Elements of Dimensionality Reduction and Manifold Learning

Authors: Benyamin Ghojogh
Categories: Computers
Type: BOOK - Published: 2023-02-02 - Publisher: Springer Nature

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Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen