International Journal of applied mathematics and computer science

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Paper details

Number 4 - December 2000
Volume 10 - 2000

One-dimensional Kohonen LVQ nets for multidimensional pattern recognition

Ewa Skubalska-Rafajłowicz

A new neural network based pattern recognition algorithm is proposed. The method consists in preprocessing the multidimensional data, using a space-filling curve based transformation into the unit interval, and employing Kohonen’s vector quantization algorithms (of 80M and LVQ types) in one dimension. The space-filling based transformation preserves the theoretical Bayes risk. Experiments show that such an approach can produce good or even better error rates than the classical LVQ performed in a multidimensional space.

space-filling curve, pattern recognition, learning vector quantization, reduction of dimension