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

Menasalvas Ruiz, Ernestina; Boccaletti, Stefano; Zanin, Massimiliano y 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.

Descripción

Título: Feature selection in the reconstruction of complex network representations of spectral data
Autor/es:
  • Menasalvas Ruiz, Ernestina
  • Boccaletti, Stefano
  • Zanin, Massimiliano
  • Sousa, Pedro
Tipo de Documento: Artículo
Título de Revista/Publicación: Plos One
Fecha: 26 Agosto 2013
Volumen: 8
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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

Más información

ID de Registro: 19175
Identificador DC: http://oa.upm.es/19175/
Identificador OAI: oai:oa.upm.es:19175
Identificador DOI: 10.1371/journal.pone.0072045
URL Oficial: http://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0072045&representation=PDF
Depositado por: Memoria Investigacion
Depositado el: 19 Sep 2013 16:01
Ultima Modificación: 21 Abr 2016 17:24
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