Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (792kB) | Preview |
Menasalvas Ruiz, Ernestina and Boccaletti, Stefano and Zanin, Massimiliano and Sousa, Pedro (2013). Feature selection in the reconstruction of complex network representations of spectral data. "Plos One", v. 8 (n. 8); pp. 1-7. ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0072045.
Title: | Feature selection in the reconstruction of complex network representations of spectral data |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Plos One |
Date: | 26 August 2013 |
ISSN: | 1932-6203 |
Volume: | 8 |
Subjects: | |
Faculty: | Facultad de Informática (UPM) |
Department: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (792kB) | Preview |
Complex networks have been extensively used in the last decade to characterize and analyze complex systems, and they have been recently proposed as a novel instrument for the analysis of spectra extracted from biological samples. Yet, the high number of measurements composing spectra, and the consequent high computational cost, make a direct network analysis unfeasible. We here present a comparative analysis of three customary feature selection algorithms, including the binning of spectral data and the use of information theory metrics. Such algorithms are compared by assessing the score obtained in a classification task, where healthy subjects and people suffering from different types of cancers should be discriminated. Results indicate that a feature selection strategy based on Mutual Information outperforms the more classical data binning, while allowing a reduction of the dimensionality of the data set in two orders of magnitude
Item ID: | 19175 |
---|---|
DC Identifier: | https://oa.upm.es/19175/ |
OAI Identifier: | oai:oa.upm.es:19175 |
DOI: | 10.1371/journal.pone.0072045 |
Official URL: | http://www.plosone.org/article/fetchObject.action?... |
Deposited by: | Memoria Investigacion |
Deposited on: | 19 Sep 2013 16:01 |
Last Modified: | 21 Apr 2016 17:24 |