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14

ESANN
2007

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Learning topology of a labeled data set with the supervised generative gaussian graph

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Learning topology of a labeled data set with the supervised generative gaussian graph

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Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model based on the Delaunay Graph of some prototypes representing the labeled data.

Pierre Gaillard, Michaël Aupetit, Géra

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Better Decision Systems | Delaunay Graph | ESANN 2007 | Neural Networks | Supervised Generative Model |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2007
Where	ESANN
Authors	Pierre Gaillard, Michaël Aupetit, Gérard Govaert

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