A principal components analysis self-organizing map.
We propose a new self-organizing neural model that performs principal components analysis. It is also related to the adaptive subspace self-organizing map (ASSOM) network, but its training equations are simpler. Experimental results are reported, which show that the new model has better performance than the ASSOM network.
López-Rubio
Ezequiel
E
Department of Computer Science, Universidad de Málaga, Campus de Teatinos, s/n. 29071 Málaga, Spain. ezeqlr@lcc.uma.es
Muñoz-Pérez
José
J
Gómez-Ruiz
José Antonio
JA
D016571:Neural Networks, Computer; D025341:Principal Component Analysis / Q000379:methods*