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(Neural Computation. 2002;14:1561-1573.)
© 2002 The MIT Press

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Kernel-Based Topographic Map Formation by Local Density Modeling

Marc M. Van Hulle

marc{at}neuro.kuleuven.ac.be, K. U. Leuven, Laboratorium voor Neuro- en Psychofysiologie, Leuven, Belgium

We introduce a new learning algorithm for kernel-based topographic map formation. The algorithm generates a gaussian mixture density model by individually adapting the gaussian kernels' centers and radii to the assumed gaussian local input densities.




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