LVQ clustering and SOM using a kernel function
Ryo Inokuchi, Satoshi Miyamoto · 2005
This paper aims at discussing clustering algorithm based on learning vector quantization (LVQ) using a kernel function in support vector machines. Furthermore, self-organizing map (SOM) using a kernel function is considered. Examples of clustering using different techniques are shown and effects of the kernel function are discussed.