JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | Li, Fajie | en |
| dc.contributor.author | Klette, Reinhard | en |
| dc.date.accessioned | 2008-12-16T00:44:26Z | en |
| dc.date.available | 2008-12-16T00:44:26Z | en |
| dc.date.issued | 2008 | en |
| dc.identifier.citation | ICONIP 2008 - 15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly - Poster Session 5 - (128), (2008) | en |
| dc.identifier.uri | http://hdl.handle.net/2292/3274 | en |
| dc.description | Conference Details: ICONIP 2008 - 15th International Conference on Neural Information. Processing of the Asia-Pacific Neural Network Assembly November 25-28, 2008, Auckland, New Zealand | en |
| dc.description.abstract | We are interested in clustering sets of highly overlapping clusters. For example, given is an observed set of stars (considered to be a set of points); how to find (recover) clusters which are the contributing galaxies of the observed union of those clusters? Below we propose a modification of an adaptive mean shift-based clustering algorithm (called Algorithm 1) proposed in 2003 by B. Geogescu, I. Shimsoni and P. Meer | en |
| dc.relation.ispartofseries | ICONIP 2008 - 15th International Conference on Neural Information | en |
| dc.rights | Copyright Li & Klette. Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. | en |
| dc.rights.uri | https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm | en |
| dc.title | A Variant of Adaptive Mean Shift-Based Clustering | en |
| dc.type | Conference Poster | en |
| dc.subject.marsden | Fields of Research::280000 Information, Computing and Communication Sciences | en |
| dc.rights.holder | Copyright: the author | en |
| dc.rights.accessrights | http://purl.org/eprint/accessRights/OpenAccess | en |
Files in this item
This item appears in the following Collection(s)
-
Conference Items [4380]
Share
