Principal Manifolds for Data Visualization and Dimension Reduction

Principal Manifolds for Data Visualization and Dimension Reduction
Author :
Publisher : Springer Science & Business Media
Total Pages : 361
Release :
ISBN-10 : 9783540737490
ISBN-13 : 3540737499
Rating : 4/5 (499 Downloads)

Book Synopsis Principal Manifolds for Data Visualization and Dimension Reduction by : Alexander N. Gorban

Download or read book Principal Manifolds for Data Visualization and Dimension Reduction written by Alexander N. Gorban and published by Springer Science & Business Media. This book was released on 2007-10 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described. Presentation of algorithms is supplemented by case studies. The volume ends with a tutorial PCA deciphers genome.


Principal Manifolds for Data Visualization and Dimension Reduction Related Books

Principal Manifolds for Data Visualization and Dimension Reduction
Language: en
Pages: 361
Authors: Alexander N. Gorban
Categories: Technology & Engineering
Type: BOOK - Published: 2007-09-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering alg
Principal Manifolds for Data Visualization and Dimension Reduction
Language: en
Pages: 361
Authors: Alexander N. Gorban
Categories: Computers
Type: BOOK - Published: 2007-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering alg
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
Python Data Science Handbook
Language: en
Pages: 609
Authors: Jake VanderPlas
Categories: Computers
Type: BOOK - Published: 2016-11-21 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

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
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