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ICANN
2007
Springer

Boosting Unsupervised Competitive Learning Ensembles

10 years 6 months ago
Boosting Unsupervised Competitive Learning Ensembles
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping models with some basic classifier ensemble and boosting techniques in order to increase the stability conditions and, as an extension, the classification capabilities of the former. A study and comparison of the performance of some novel and classical ensemble techniques are presented in this paper to test their suitability, both in the fields of data visualization and classification when combined with topology preserving models such as the SOM, ViSOM or ML-SIM.
Emilio Corchado, Bruno Baruque, Hujun Yin
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICANN
Authors Emilio Corchado, Bruno Baruque, Hujun Yin
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