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2000
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Hierarchical growing cell structures: TreeGCS

9 years 7 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsistency in the GCS algorithm, where the network topology is susceptible to the ordering of the input vectors. We demonstrate improved stability of the GCS foundation by alternating the input vector order on each presentation. We evaluate our automatically produced cluster hierarchy against that generated by an ascendant hierarchical clustering dendogram. We use a small dataset to illustrate how our approach emulates the hierarchical clustering of the dendogram, regardless of the input vector order.
Victoria J. Hodge, James Austin
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where KES
Authors Victoria J. Hodge, James Austin
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