Monthly
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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

July 1, 2002, Vol. 14, No. 7, Pages 1561-1573
(doi: 10.1162/08997660260028610)
© 2002 Massachusetts Institute of Technology
Kernel-Based Topographic Map Formation by Local Density Modeling
Article PDF (1.02 MB)
Abstract

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.