Non-metric neural clustering

This paper presents an implementation of a non-metric clustering model using neural networks. The metric clustering model is correctly implemented by using the structure of neural networks based on the universal approximation theorem. However, it might be believed that the estimates as outputs contain little reliable information beyond their rank order. So, I discuss one implementation of a clustering model using a non-metric algorithm of neural networks.