Nonlinear Dimensionality Reduction

Download or Read eBook Nonlinear Dimensionality Reduction PDF written by John A. Lee and published by Springer Science & Business Media. This book was released on 2007-10-31 with total page 316 pages. Available in PDF, EPUB and Kindle.
Nonlinear Dimensionality Reduction
Author :
Publisher : Springer Science & Business Media
Total Pages : 316
Release :
ISBN-10 : 9780387393513
ISBN-13 : 038739351X
Rating : 4/5 (13 Downloads)

Book Synopsis Nonlinear Dimensionality Reduction by : John A. Lee

Book excerpt: This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The text provides a lucid summary of facts and concepts relating to well-known methods as well as recent developments in nonlinear dimensionality reduction. Methods are all described from a unifying point of view, which helps to highlight their respective strengths and shortcomings. The presentation will appeal to statisticians, computer scientists and data analysts, and other practitioners having a basic background in statistics or computational learning.


Nonlinear Dimensionality Reduction Related Books

Nonlinear Dimensionality Reduction
Language: en
Pages: 316
Authors: John A. Lee
Categories: Mathematics
Type: BOOK - Published: 2007-10-31 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, devel
Nonlinear Dimensionality Reduction Techniques
Language: en
Pages: 279
Authors: Sylvain Lespinats
Categories: Computers
Type: BOOK - Published: 2021-12-02 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones.
Geometric Structure of High-Dimensional Data and Dimensionality Reduction
Language: en
Pages: 363
Authors: Jianzhong Wang
Categories: Computers
Type: BOOK - Published: 2012-04-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality red
Elements of Dimensionality Reduction and Manifold Learning
Language: en
Pages: 617
Authors: Benyamin Ghojogh
Categories: Computers
Type: BOOK - Published: 2023-02-02 - Publisher: Springer Nature

DOWNLOAD EBOOK

Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen
Modern Multidimensional Scaling
Language: en
Pages: 469
Authors: Ingwer Borg
Categories: Mathematics
Type: BOOK - Published: 2013-04-18 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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