Abstract
This book conducts a review of research into the application of “committee of experts” or ensemble learning techniques to artificial neural networks that employ unsupervised learning for dimensionality reduction tasks and especially, for visualizing multi-dimensional data sets. In addition, it sets out a method of assessing and identifying data-set outliers by means of ensemble and statistical analysis.
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© 2010 Springer-Verlag Berlin Heidelberg
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Baruque, B., Corchado, E. (2010). Introduction. In: Fusion Methods for Unsupervised Learning Ensembles. Studies in Computational Intelligence, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16205-3_1
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DOI: https://doi.org/10.1007/978-3-642-16205-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16204-6
Online ISBN: 978-3-642-16205-3
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