dc.contributor.author |
Fotakis, D |
en |
dc.date.accessioned |
2014-03-01T02:49:39Z |
|
dc.date.available |
2014-03-01T02:49:39Z |
|
dc.date.issued |
2004 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34664 |
|
dc.subject |
Data Classification |
en |
dc.subject |
Data Clustering |
en |
dc.subject |
Facility Location |
en |
dc.subject |
Hierarchical Structure |
en |
dc.subject |
Incremental Algorithm |
en |
dc.subject |
Information Retrieval |
en |
dc.subject |
Online Algorithm |
en |
dc.subject |
Performance Ratio |
en |
dc.title |
Incremental Algorithms for Facility Location and k-Median |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1007/978-3-540-30140-0_32 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/978-3-540-30140-0_32 |
en |
heal.publicationDate |
2004 |
en |
heal.abstract |
In the incremental versions of Facility Location and k- Median, the demand points arrive one at a time and the algorithm must maintain a good solution by either adding each new demand to an ex- isting cluster or placing it in a new singleton cluster. The algorithm can also merge some of the existing clusters at any point in time. |
en |
heal.journalName |
European Symposium on Algorithms |
en |
dc.identifier.doi |
10.1007/978-3-540-30140-0_32 |
en |