Adaptive combination of PCA and VQ networks
Andreas Weingessel, Horst Bischof, Kurt Hornik, Friedrich Leisch · IEEE Transactions on Neural Networks · 1997
In this paper we consider the principal component analysis (PCA) and vector quantization (VQ) neural networks for image compression. We present a method where the PCA and VQ steps are adaptively combined. A learning algorithm for this combined network is derived. We demonstrate that this approach can improve the results of the successive application of the individually optimal methods.