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Browsing Symposium on Statistical & Computational Modelling with Applications (SymSCMA) by Subject "Dimensionality reduction"

Browsing Symposium on Statistical & Computational Modelling with Applications (SymSCMA) 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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