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        Hierarchical growing neural gas

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        901763.pdf (PDF, 341Kb)
        Author
        Doherty, K.
        Adams, R.G.
        Davey, N.
        Attention
        2299/3968
        Abstract
        This paper describes TreeGNG, a top-down unsupervised learning method that produces hierarchical classification schemes. TreeGNG is an extension to the Growing Neural Gas algorithm that maintains a time history of the learned topological mapping. TreeGNG is able to correct poor decisions made during the early phases of the construction of the tree, and provides the novel ability to influence the general shape and form of the learned hierarchy.
        Publication date
        2005
        Published in
        05)
        Published version
        https://doi.org/10.1007/3-211-27389-1_34
        Other links
        http://hdl.handle.net/2299/3968
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