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Browsing SymSCMA – 2016 by Subject "Dimensionality reduction"

Browsing SymSCMA – 2016 by Subject "Dimensionality reduction"

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  • Fajila, M.N.F.; Nawarathna, R.D. (Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016)
    Dimensionality reduction (i.e., feature selection) is an essential technique in data science when handling high dimensional data such as cancer microarray samples. Cancer microarray experiments normally provide a large ...

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