Constructing non-orthogonal feature bases
Heikki Hyötyniemi · 2002
A feature extraction algorithm based on self-organising maps is presented. The converged feature map can be interpreted as a non-orthogonal basis spanning the space of the input vectors. The new algorithm can be shown to be a generalization of the generalised Hebbian algorithm (GHA).