论文信息 - LVQ clustering and SOM using a kernel function

LVQ clustering and SOM using a kernel function

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.

Sadaaki Miyamoto | Ryo Inokuchi

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