A principal components analysis self-organizing map.

López-Rubio, Ezequiel; Muñoz-Pérez, José; Gómez-Ruiz, José Antonio · Neural Netw · 2004

basic_science · Level V

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Abstract

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.

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