In this paper ensemble techniques have been applied in the frame of topology preserving mappings in two applications: classification and visualization. These techniques are applied for the first time to the ViSOM and their performance is compared with ensemble combination of some other topology preserving mapping such as the SOM or the MLSIM. Several methods to obtain a meaningful combination of the components of an ensemble are presented and tested together with the existing ones in order to identify the best performing method in the applications of these models. © Springer-Verlag Berlin Heidelberg 2007.
|Title of host publication||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.|
|Number of pages||8|
|Publication status||Published - 2007|
|Event||9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian|
Duration: 1 Jul 2007 → …
|Conference||9th International Work-Conference on Artificial Neural Networks, IWANN 2007|
|Period||1/07/07 → …|