The application of cluster analysis in geophysical data interpretation

DC FieldValueLanguage
dc.contributor.authorSong, Yu-Chen-
dc.contributor.authorMeng, Hai-Dong-
dc.contributor.authorO'Grady, Michael J.-
dc.contributor.authorO'Hare, G. M. P. (Greg M. P.)-
dc.date.accessioned2010-04-08T15:25:24Z-
dc.date.available2010-04-08T15:25:24Z-
dc.date.copyrightSpringer, 2010en
dc.date.issued2010-03-
dc.identifier.citationComputational Geosciencesen
dc.identifier.issn1420-0597 (Print)-
dc.identifier.issn1573-1499 (Online)-
dc.identifier.urihttp://hdl.handle.net/10197/1914-
dc.description.abstractA clustering algorithm which is based on density and adaptive density-reachable is developed and presented for arbitrary data point distributions in some real world applications, especially in geophysical data interpretation. Through comparisons of the new algorithm and other algorithms, it is shown that the new algorithm can reduce the dependency of domain knowledge and the sensitivity of abnormal data points, that it can improve the effectiveness of clustering results in which data are distributed in different shapes and different density, and that it can get a better clustering efficiency. The application of the new clustering algorithm demonstrates that data mining techniques can be used in geophysical data interpretation and can get meaningful and useful results, and that the new clustering algorithm can be used in other real world applications.en
dc.description.sponsorshipScience Foundation Irelanden
dc.format.extent508823 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherSpringeren
dc.subjectCluster analysisen
dc.subjectGeophysical data interpretationen
dc.subjectData miningen
dc.subject.lcshCluster analysisen
dc.subject.lcshGeophysics--Data processingen
dc.subject.lcshData miningen
dc.titleThe application of cluster analysis in geophysical data interpretationen
dc.typeJournal Articleen
dc.internal.availabilityFull text availableen
dc.statusPeer revieweden
dc.identifier.volume14en
dc.identifier.issue2en
dc.identifier.startpage263en
dc.identifier.endpage271en
dc.identifier.doi10.1007/s10596-009-9150-1-
dc.neeo.contributorSong|Yu-Chen|aut|-
dc.neeo.contributorMeng|Hai-Dong|aut|-
dc.neeo.contributorO'Grady|Michael J.|aut|-
dc.neeo.contributorO'Hare|G. M. P. (Greg M. P.)|aut|-
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection
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