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Unsupervised clustering analysis: A multiscale complex networks approach

  • Datos identificativos

    Identificador: imarina:9285210
    Handle: https://hdl.handle.net/20.500.11797/imarina9285210
    Autores:
    Granell, ClaraGomez, SergioArenas, Alex
    Resumen:
    Unsupervised clustering, also known as natural clustering, stands for the classification of data according to their similarities. Here we study this problem from the perspective of complex networks. Mapping the description of data similarities to graphs, we propose to extend two multiresolution modularity based algorithms to the finding of modules (clusters) in general data sets producing a multiscales' solution. We show the performance of these reported algorithms to the classification of a standard benchmark of data clustering and compare their performance. © 2012 World Scientific Publishing Company.

  • Otros:

    Autor según el artículo: Granell, Clara; Gomez, Sergio; Arenas, Alex
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio / Granell Martorell, Clara
    Palabras clave: Unsupervised clustering Networks (circuits) Networks Natural clustering Multiple resolutions Multiple resolution Modularity Data clustering Complex networks Community structures Community structure Clustering algorithms Clustering Classification of data Classification (of information) Benchmarking
    Resumen: Unsupervised clustering, also known as natural clustering, stands for the classification of data according to their similarities. Here we study this problem from the perspective of complex networks. Mapping the description of data similarities to graphs, we propose to extend two multiresolution modularity based algorithms to the finding of modules (clusters) in general data sets producing a multiscales' solution. We show the performance of these reported algorithms to the classification of a standard benchmark of data clustering and compare their performance. © 2012 World Scientific Publishing Company.
    Áreas temáticas: Multidisciplinary sciences Multidisciplinary Modeling and simulation Mathematics, interdisciplinary applications Mathematics, applied Matemática / probabilidade e estatística Interdisciplinar Geociências General engineering Ensino Engineering (miscellaneous) Engenharias iv Engenharias iii Engenharias i Economia Ciências biológicas i Ciências agrárias i Ciência da computação Biodiversidade Astronomia / física Applied mathematics
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: clara.granell@urv.cat sergio.gomez@urv.cat alexandre.arenas@urv.cat
    Identificador del autor: 0000-0003-1820-0062 0000-0003-0937-0334
    Fecha de alta del registro: 2024-09-28
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: International Journal Of Bifurcation And Chaos. 22 (7): 1230023-
    Referencia de l'ítem segons les normes APA: Granell, Clara; Gomez, Sergio; Arenas, Alex (2012). Unsupervised clustering analysis: A multiscale complex networks approach. International Journal Of Bifurcation And Chaos, 22(7), 1230023-. DOI: 10.1142/S0218127412300236
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2012
    Tipo de publicación: Journal Publications

  • Palabras clave:

    Applied Mathematics,Engineering (Miscellaneous),Mathematics, Applied,Mathematics, Interdisciplinary Applications,Modeling and Simulation,Multidisciplinary,Multidisciplinary Sciences
    Unsupervised clustering
    Networks (circuits)
    Networks
    Natural clustering
    Multiple resolutions
    Multiple resolution
    Modularity
    Data clustering
    Complex networks
    Community structures
    Community structure
    Clustering algorithms
    Clustering
    Classification of data
    Classification (of information)
    Benchmarking
    Multidisciplinary sciences
    Multidisciplinary
    Modeling and simulation
    Mathematics, interdisciplinary applications
    Mathematics, applied
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    General engineering
    Ensino
    Engineering (miscellaneous)
    Engenharias iv
    Engenharias iii
    Engenharias i
    Economia
    Ciências biológicas i
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
    Astronomia / física
    Applied mathematics

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