Feature extraction-based subspace learning methods normally learn a projection that can convert the high-dimensional data to the low-dimensional representation. However. they may not be suitable for better classification since features obtained by these methods ignore discriminability of the data-pixel itself. Given this. https://pipingrockers.shop/product-category/ear/