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Differential Evolution Classifier with Optimized Distance Measures from a Pool of Distances

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F12%3A86085128" target="_blank" >RIV/61989100:27740/12:86085128 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CEC.2012.6252889" target="_blank" >http://dx.doi.org/10.1109/CEC.2012.6252889</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC.2012.6252889" target="_blank" >10.1109/CEC.2012.6252889</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Differential Evolution Classifier with Optimized Distance Measures from a Pool of Distances

  • Original language description

    In this article we propose a differential evolution based nearest prototype classifier with extension to selecting the applied distance measure from a pool of alternative measures optimally for the particular data set at hand. The proposed method extendsthe earlier differential evolution based nearest prototype classifier by extending the optimization process to cover also the selection of distance measure instead of optimizing only the parameters related with a preselected and fixed distance measure.Now the optimization process is seeking also for the best distance measure providing the highest classification accuracy over the selected data set. It has been clear for some time that in classification, the usual euclidean distance measure is sometimesnot the best possible choice. Still usually not much has been done for it, and in many cases where some consideration to this problem is given, there has only been testing with a couple of alternative distance measures to find which one

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2012 IEEE Congress on Evolutionary Computation (CEC), 2012

  • ISBN

    978-1-4673-1509-8

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Brisbane

  • Event date

    Jun 10, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000312859300034