Hierarchical growing neural gas

K. Doherty, R.G. Adams, N. Davey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publication05)
PublisherSpringer Nature
Pages140-143
ISBN (Print)978-3-211-24934-5
DOIs
Publication statusPublished - 2005

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