Linear Replicator in Kernel Space

This paper presents a linear replicator [2][4] based on minimizing the reconstruction error [8][9] It can be used to study the learning behaviors of the kernel principal component analysis [10], the Hebbian algorithm for the principle component analysis (PCA) [8][9] and the iterative kernel PCA [3].