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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-016-2216-9
Abstract: Abstract We consider the supervised pattern classification in the high-dimensional setting, in which the number of features is much larger than the number of observations. We present a novel approach to the sparse Fisher linear…
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Keywords:
fisher linear;
sparse fisher;
programming dca;
linear discriminant ... See more keywords