Neuron splitting for efficient feature map formation

Abstract

Kohonen's Self Organizing Feature Map (SOFM) produces an ordered mapping from one space to another. This paper describes an algorithm inspired by the splitting initialization for the classical LBG method for vector quantizer design, which allows the efficient generation of maps with various topologies and with high local and global ordering.