Spectral Feature Selection for Data Mining (Open Access)

Spectral Feature Selection for Data Mining (Open Access)
Author :
Publisher : CRC Press
Total Pages : 215
Release :
ISBN-10 : 9781000023077
ISBN-13 : 1000023079
Rating : 4/5 (079 Downloads)

Book Synopsis Spectral Feature Selection for Data Mining (Open Access) by : Zheng Alan Zhao

Download or read book Spectral Feature Selection for Data Mining (Open Access) written by Zheng Alan Zhao and published by CRC Press. This book was released on 2011-12-14 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise


Spectral Feature Selection for Data Mining (Open Access) Related Books

Spectral Feature Selection for Data Mining (Open Access)
Language: en
Pages: 215
Authors: Zheng Alan Zhao
Categories: Business & Economics
Type: BOOK - Published: 2011-12-14 - Publisher: CRC Press

GET EBOOK

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature sele
Spectral Feature Selection for Data Mining
Language: en
Pages: 224
Authors: Zheng Alan Zhao
Categories: Data mining
Type: BOOK - Published: 2018-04-18 - Publisher: Chapman & Hall/CRC

GET EBOOK

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature sele
Spectral Feature Selection for Data Mining
Language: en
Pages: 220
Authors: Zheng Alan Zhao
Categories: Business & Economics
Type: BOOK - Published: 2011-12-14 - Publisher: CRC Press

GET EBOOK

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature sele
Large-Scale Machine Learning in the Earth Sciences
Language: en
Pages: 238
Authors: Ashok N. Srivastava
Categories: Computers
Type: BOOK - Published: 2017-08-01 - Publisher: CRC Press

GET EBOOK

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth
Feature Selection for High-Dimensional Data
Language: en
Pages: 163
Authors: Verónica Bolón-Canedo
Categories: Computers
Type: BOOK - Published: 2015-10-05 - Publisher: Springer

GET EBOOK

This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real app