Nonmetric Multidimensional Scaling with Neural Networks

Authors:
Michiel C. van Wezel;Walter A. Kosters;Peter van der Putten;Joost N. Kok
Affiliations:
-;-;-;-
Venue:
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Year:
2001

Citing 2
Cited 1

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Abstract

In this paper we present a neural network for nonmetric multidimensional scaling. In our approach, the monotone transformation that is a part of every nonmetric scaling algorithm is performed by a special feedforward neural network with a modified backpropagation algorithm. Contrary to traditional methods, we thus explicitly model the monotone transformation by a special purpose neural network. The architecture of the new network and the derivation of the learning rule are given, as well as some experimental results. The experimental results are positive.