Arbitrary distance function estimation using vector quantization

Oommen B., ALTINEL İ. K., ARAS M. N.

Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6), Perth, Avustralya, 27 Kasım - 01 Aralık 1995, cilt.6, ss.3062-3067, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 6
  • Basıldığı Şehir: Perth
  • Basıldığı Ülke: Avustralya
  • Sayfa Sayıları: ss.3062-3067
  • Boğaziçi Üniversitesi Adresli: Evet

Özet

In this paper we shall utilize the concepts of Vector Quantization (VQ) for the computation of arbitrary distance functions - a problem which has been receiving much attention in the Operations Research and Location Analysis community. The input to our problem is the set of coordinates of a large number of nodes whose inter-node arbitrary 'distances' have to be estimated. Unlike traditional Operations Research methods, which use parametric functional estimators, we have utilized VQ principles to first adaptively polarize the nodes into sub-regions according to Kohonen's Self-Organizing Map (SOM). Subsequently, the parameters characterizing the sub-regions are learnt by using a variety of methods.