The identification of suitable feature subsets from High-Dimensional Low-Sample-Size (HDLSS) data is of paramount importance because this dataset often contains numerous redundant and irrelevant ...

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With the advent of the big data era, we often deal with datasets containing a large number of redundant features, and in this context, dimensionality reduction of data becomes crucial. To address this ...

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MATLAB and Python wrappers of the Okada Green's functions. ... success - a return code from DC3D0=0 if normal, 1 if singular, 2 if a positive z value for the observation point was given; u ... For the ...