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dc.contributor.authorSridharan, M.
dc.contributor.authorSelvaraj, R. Samuel
dc.date.accessioned2015-10-07T10:16:45Z
dc.date.accessioned2021-02-12T10:40:58Z-
dc.date.available2015-10-07T10:16:45Z
dc.date.available2021-02-12T10:40:58Z-
dc.date.issued2009
dc.identifier.citationIJRSP, v.38, p.165-173, 2009en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/555-
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.isoenen_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
dc.identifier.accession091073
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