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: 224
Release: 2011-12-14
Genre: Business & Economics
ISBN: 1439862109

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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: 224
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.
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Categories: Business & Economics
Type: BOOK - Published: 2007-10-29 - Publisher: CRC Press

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Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational s
Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation
Language: en
Pages: 449
Authors: Prasad S. Thenkabail
Categories: Technology & Engineering
Type: BOOK - Published: 2018-12-07 - Publisher: CRC Press

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Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews e
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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