JPL Technical Report Server

Active constrained clustering by examining spectral Eigenvectors

Show simple item record

dc.contributor.author Wagstaff, Kiri L.
dc.contributor.author desJardins, Marie
dc.contributor.author Xu, Qianjun
dc.date.accessioned 2005-09-30T20:33:21Z
dc.date.available 2005-09-30T20:33:21Z
dc.date.issued 2005-10
dc.identifier.citation 8th International Conference on Discovery Science, Singapore, October 8-11, 2005 en
dc.identifier.clearanceno 05-2276
dc.identifier.uri http://hdl.handle.net/2014/37631
dc.description.abstract This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examining Spectral eigenvectorS (ACCESS) derived from a similarity matrix. en
dc.description.sponsorship NASA en
dc.format.extent 701286 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. en
dc.subject clustering en
dc.subject eigenvectors en
dc.subject spectral clustering en
dc.subject constraints en
dc.title Active constrained clustering by examining spectral Eigenvectors en
dc.type Preprint en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Browse

My Account