Sciweavers

Share
ESANN
2007

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

8 years 10 months ago
Learning topology of a labeled data set with the supervised generative gaussian graph
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
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Comments (0)
books