Universal clustering with family of power loss functions in probabilistic space
| dc.contributor.author | Nikulin, Vladimir | en |
| dc.date.accessioned | 2025-12-31T21:42:16Z | |
| dc.date.available | 2025-12-31T21:42:16Z | |
| dc.date.issued | 2005 | en |
| dc.description.abstract | We propose universal clustering in line with the concepts of universal estimation. In order to illustrate the model of universal clustering we consider family of power loss functions in probabilistic space which is marginally linked to the Kullback-Leibler divergence. The model proved to be effective in application to the synthetic data. Also, we consider large web-traffic dataset. The aim of the experiment is to explain and understand the way people interact with web sites. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 8 | en |
| dc.identifier.issn | 0302-9743 | en |
| dc.identifier.scopus | 26444554889 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733798364 | |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005 | en |
| dc.source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en |
| dc.title | Universal clustering with family of power loss functions in probabilistic space | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 318 | en |
| local.bibliographicCitation.startpage | 311 | en |
| local.contributor.affiliation | Nikulin, Vladimir; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.identifier.ariespublication | MigratedxPub252 | en |
| local.identifier.citationvolume | 3578 | en |
| local.identifier.doi | 10.1007/11508069_41 | en |
| local.identifier.pure | f3b7af6d-e5c3-4b77-9d5b-5ca055a23ec9 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/26444554889 | en |
| local.type.status | Published | en |