Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data

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Bibliographic Details
Main Author: González, A. Gustavo
Format: Electronic Book Chapter
Language:English
Published: IntechOpen 2012
Subjects:
Online Access:https://www.intechopen.com/chapters/33606
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author González, A. Gustavo
author_facet González, A. Gustavo
author_sort González, A. Gustavo
collection InTech Open eBooks
description None
doi_str_mv 10.5772/31470
first_indexed 2025-08-04T21:58:49Z
format Electronic
Book Chapter
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institution Matheson Library
isbn 978-953-51-0438-4
language English
last_indexed 2025-08-04T21:58:49Z
publishDate 2012
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spelling InTech-336062012-03-23 Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data A. Gustavo González Physical Sciences, Engineering and Technology None IntechOpen 2012-03-23 Chapter, Part Of Book https://www.intechopen.com/chapters/33606 doi:10.5772/31470 en ISBN:978-953-51-0438-4 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/641 ; Chemometrics in Practical Applications
spellingShingle Physical Sciences, Engineering and Technology
González, A. Gustavo
Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data
title Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data
title_full Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data
title_fullStr Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data
title_full_unstemmed Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data
title_short Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data
title_sort critical aspects of supervised pattern recognition methods for interpreting compositional data
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/33606
work_keys_str_mv AT gonzalezagustavo criticalaspectsofsupervisedpatternrecognitionmethodsforinterpretingcompositionaldata