Introduction
In the case of projection methods based on unsupervised learning, the problem of instability makes it difficult to devise an easy way of combining their results into a final solution. This is mainly because it is a global type of analysis, which means that very little information can be obtained once it has been completed.
This chapter centres on different methods of enhancing the use of ensembles with another visualisation-centred unsupervised learning algorithms: the topology-preserving map family.
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© 2010 Springer-Verlag Berlin Heidelberg
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Baruque, B., Corchado, E. (2010). Ensembles of Topology Preserving Maps. 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_5
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DOI: https://doi.org/10.1007/978-3-642-16205-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16204-6
Online ISBN: 978-3-642-16205-3
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