Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps

Abstract

The self-organizing map (SOM) is a powerful method for manifold learning because of producing a 2-D spatially ordered quantization of a higher dimensional data space on a rigid lattice and adaptively determining optimal approximation of the (unknown) dens