Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
A new entropy-weighted feature selection method trims 13 clinical attributes down to 8 and pushes heart disease prediction ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results