Feature selection in the reconstruction of complex network representations of spectral data

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.

Description

Title: Feature selection in the reconstruction of complex network representations of spectral data
Author/s:
  • Menasalvas Ruiz, Ernestina
  • Boccaletti, Stefano
  • Zanin, Massimiliano
  • Sousa, Pedro
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

Full text

[thumbnail of INVE_MEM_2013_142696.pdf]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (792kB) | Preview

Abstract

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

More information

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
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM