Propiedades de un enfoque difuso para particionamiento con datos bimodales

It is presented a new fuzzy partitioning criterion for two-mode data and an algo- rithm is formulated for its optmization. We study the convergence properties of the method. The method was tested on real data. It is deduced that better results can be obtained with this new method than with other met...

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Main Authors: William Castillo Elizondo, Javier Trejos Zelaya
Format: Article
Language:English
Published: Universidad de Costa Rica 2010-04-01
Series:Revista de Matemática: Teoría y Aplicaciones
Online Access:https://revistas.ucr.ac.cr/index.php/matematica/article/view/304
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author William Castillo Elizondo
Javier Trejos Zelaya
author_facet William Castillo Elizondo
Javier Trejos Zelaya
author_sort William Castillo Elizondo
collection DOAJ
description It is presented a new fuzzy partitioning criterion for two-mode data and an algo- rithm is formulated for its optmization. We study the convergence properties of the method. The method was tested on real data. It is deduced that better results can be obtained with this new method than with other methods. Keywords: Two-mode partition, algorithm, fuzzy cluster, minimization, variance accounted for. Mathematics Subject Classification: 91C20, 03E72.
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spelling doaj.art-e9ccfec4a3f7421e962456ad917d70542023-09-02T12:20:17ZengUniversidad de Costa RicaRevista de Matemática: Teoría y Aplicaciones2215-33732010-04-0116224125410.15517/rmta.v16i2.304289Propiedades de un enfoque difuso para particionamiento con datos bimodalesWilliam Castillo Elizondo0Javier Trejos Zelaya1Universidad de Costa Rica, CIMPA, Escuela de MatemáticaUniversidad de Costa Rica, Escuela de MatematicaIt is presented a new fuzzy partitioning criterion for two-mode data and an algo- rithm is formulated for its optmization. We study the convergence properties of the method. The method was tested on real data. It is deduced that better results can be obtained with this new method than with other methods. Keywords: Two-mode partition, algorithm, fuzzy cluster, minimization, variance accounted for. Mathematics Subject Classification: 91C20, 03E72.https://revistas.ucr.ac.cr/index.php/matematica/article/view/304
spellingShingle William Castillo Elizondo
Javier Trejos Zelaya
Propiedades de un enfoque difuso para particionamiento con datos bimodales
Revista de Matemática: Teoría y Aplicaciones
title Propiedades de un enfoque difuso para particionamiento con datos bimodales
title_full Propiedades de un enfoque difuso para particionamiento con datos bimodales
title_fullStr Propiedades de un enfoque difuso para particionamiento con datos bimodales
title_full_unstemmed Propiedades de un enfoque difuso para particionamiento con datos bimodales
title_short Propiedades de un enfoque difuso para particionamiento con datos bimodales
title_sort propiedades de un enfoque difuso para particionamiento con datos bimodales
url https://revistas.ucr.ac.cr/index.php/matematica/article/view/304
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