Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/4534
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dc.contributor.authorSridharan, M-
dc.contributor.authorSelvaraj, R Samuel-
dc.date.accessioned2009-06-09T09:09:54Z-
dc.date.available2009-06-09T09:09:54Z-
dc.date.issued2009-06-
dc.identifier.issn0975-105X (Online); 0367-8393 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/4534-
dc.description165-173en_US
dc.description.abstractThe dominant relationship in respect of geomagnetic solar quiet day variations (Sq) among the six Indian geomagnetic observatories is analysed by employing multidimensional scaling. This is a powerful technique for data analysis to identify the proximity and dominance relationship between data points of different classes.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.relation.ispartof91.25.Rten_US
dc.sourceIJRSP Vol.38(3) [June 2009]en_US
dc.subjectMultidimensional scalingen_US
dc.subjectProximity relationshipen_US
dc.subjectGeomagnetic solar quiet day (Sq) variationen_US
dc.titleMulti dimensional scaling of geomagnetic Sq (H) variationsen_US
dc.typeArticleen_US
Appears in Collections:IJRSP Vol.38(3) [June 2009]

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