DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, HC | - |
dc.contributor.author | Lee, J | - |
dc.date.accessioned | 2016-04-01T01:55:01Z | - |
dc.date.available | 2016-04-01T01:55:01Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2006-01 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.other | 2006-OAK-0000005978 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/23993 | - |
dc.description.abstract | Gaussian processes (GP) provide a kernel machine framework. They have been mainly applied to regression and classification. We propose a pseudo-density estimation method based on the information of variance functions of GPs, which relates to the density of the data points. We also show how the constructed pseudo-density can be applied to clustering. Through simulation we show that the topology of the pseudo-density represents the clustering information well with promising results. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.relation.isPartOf | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.title | Pseudo-density estimation for clustering with Gaussian processes | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1007/11759966_183 | - |
dc.author.google | Kim, HC | - |
dc.author.google | Lee, J | - |
dc.relation.volume | 3971 | - |
dc.relation.startpage | 1238 | - |
dc.relation.lastpage | 1243 | - |
dc.contributor.id | 10081901 | - |
dc.relation.journal | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Conference Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | LECTURE NOTES IN COMPUTER SCIENCE, v.3971, pp.1238 - 1243 | - |
dc.identifier.wosid | 000238112000183 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 1243 | - |
dc.citation.startPage | 1238 | - |
dc.citation.title | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.citation.volume | 3971 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.identifier.scopusid | 2-s2.0-33745913334 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 5 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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