Using large databases and self-organizing maps without tears

Bedregal, Carlos; Cuadros Vargas, Ernesto

Using large databases and self-organizing maps without tears

Date

2006

Authors

Bedregal, Carlos

Cuadros Vargas, Ernesto

Publisher

Scopus

Abstract

Nowadays the need to process lots of complex multimedia databases is more frequent. Recent investigations such as MAM-SOM* and SAM-SOM* families propose the combination of Self-Organizing Maps (SOM) with Access Methods for a faster similarity information retrieval. In this investigation we present experimental results using recent Access Methods such as Slim-Tree and Omni-Sequential that show the improvement acquired by these techniques and their properties in contrast with a traditional SOM network, observing up to 90% of performance improvement. © 2006 IEEE.