Spectral Feature Selection for Data Mining (Open Access)

Spectral Feature Selection for Data Mining (Open Access)
Author: Zheng Alan Zhao
Publisher: CRC Press
Total Pages: 230
Release: 2011-12-14
Genre: Business & Economics
ISBN: 1000023079

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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)
Language: en
Pages: 230
Authors: Zheng Alan Zhao
Categories: Business & Economics
Type: BOOK - Published: 2011-12-14 - Publisher: CRC Press

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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: 432
Authors:
Categories:
Type: BOOK - Published: 2011 - Publisher:

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Spectral Feature Selection for Data Mining.
Feature Selection for High-Dimensional Data
Language: en
Pages: 163
Authors: Verónica Bolón-Canedo
Categories: Computers
Type: BOOK - Published: 2015-10-05 - Publisher: Springer

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This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real app
Spectral Feature Selection for Mining Ultrahigh Dimensional Data
Language: en
Pages: 218
Authors: Zheng Zhao
Categories: Data mining
Type: BOOK - Published: 2010 - Publisher:

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IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering
Language: en
Pages: 658
Authors: Jefferson Luiz Brum Marques
Categories: Technology & Engineering
Type: BOOK - Published: 2024-01-03 - Publisher: Springer Nature

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This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Lati