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Adapting GNU Random Forest Program for Unix and Windows

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    0399557 - ÚI 2014 RIV US eng C - Conference Paper (international conference)
    Jiřina, Marcel - Krayem, S. M. - Jiřina jr., M.
    Adapting GNU Random Forest Program for Unix and Windows.
    11th International Conference of Numerical Analysis and Applied Mathematics ICNAAM 2013. New York: AIP Publishing LLC, 2013 - (Simos, T.; Psihoyios, G.; Tsitouras, C.), s. 337-340. AIP Conference Proceedings, 1558. ISBN 978-0-7354-1184-5. ISSN 1551-7616.
    [ICNAAM 2013. International Conference on Numerical Analysis and Applied Mathematics /11./. Rhodes (GR), 21.09.2013-27.09.2013]
    Institutional support: RVO:67985807
    Keywords : program recycling * software maintenance * Random Forest * multivariate data * clustering * classification
    Subject RIV: BB - Applied Statistics, Operational Research

    The Random Forest is a well-known method and also a program for data clustering and classification. Unfortunately, the original Random Forest program is rather difficult to use. Here we describe a new version of this program originally written in Fortran 77. The modified program in Fortran 95 needs to be compiled only once and information for different tasks is passed with help of arguments. The program was tested with 24 data sets from UCI MLR and results are available on the net.
    Permanent Link: http://hdl.handle.net/11104/0226827

     
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