DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, HC | - |
dc.contributor.author | Lee, J | - |
dc.date.accessioned | 2016-04-01T01:32:22Z | - |
dc.date.available | 2016-04-01T01:32:22Z | - |
dc.date.created | 2009-04-01 | - |
dc.date.issued | 2007-11 | - |
dc.identifier.issn | 0899-7667 | - |
dc.identifier.other | 2007-OAK-0000007193 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/23155 | - |
dc.description.abstract | In this letter, we develop a gaussian process model for clustering. The variances of predictive values in gaussian processes learned from a training data are shown to comprise an estimate of the support of a probability density function. The constructed variance function is then applied to construct a set of contours that enclose the data points, which correspond to cluster boundaries. To perform clustering tasks of the data points, an associated dynamical system is built, and its topological invariant property is investigated. The experimental results show that the proposed method works successfully for clustering problems with arbitrary shapes. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | M I T PRESS | - |
dc.relation.isPartOf | NEURAL COMPUTATION | - |
dc.subject | CLASSIFICATION | - |
dc.title | Clustering based on Gaussian processes | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1162/neco.2007.19.11.3088 | - |
dc.author.google | Kim, HC | - |
dc.author.google | Lee, J | - |
dc.relation.volume | 19 | - |
dc.relation.issue | 11 | - |
dc.relation.startpage | 3088 | - |
dc.relation.lastpage | 3107 | - |
dc.contributor.id | 10081901 | - |
dc.relation.journal | NEURAL COMPUTATION | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | NEURAL COMPUTATION, v.19, no.11, pp.3088 - 3107 | - |
dc.identifier.wosid | 000249870700008 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 3107 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 3088 | - |
dc.citation.title | NEURAL COMPUTATION | - |
dc.citation.volume | 19 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.identifier.scopusid | 2-s2.0-36248936067 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 21 | - |
dc.type.docType | Article | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
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