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Sergio Gómez
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Journal Articles
Improved Multidimensional Scaling Analysis Using Neural Networks with Distance-Error Backpropagation
Publisher: Journals Gateway
Neural Computation (1999) 11 (3): 595–600.
Published: 01 April 1999
Abstract
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We show that neural networks, with a suitable error function for back-propagation, can be successfully used for metric multidimensional scaling (MDS) (i.e., dimensional reduction while trying to preserve the original distances between patterns) and are in fact able to outdo the standard algebraic approach to MDS, known as classical scaling.