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Arbitrary distance function estimation using vector quantization

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3 Author(s)
Oommen, B.J. ; Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont., Canada ; Kuban Altinel, I. ; Aras, N.

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. Subsequently, the parameters characterizing the sub-regions are learnt by using a variety of methods

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:6 )

Date of Conference:

Nov/Dec 1995