MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION

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dc.contributor.advisorZhu, Meijun
dc.creatorCheng, Kesong
dc.date.accessioned2019-06-03T20:35:48Z
dc.date.available2019-06-03T20:35:48Z
dc.date.issued2012
dc.description.abstractWe develop several mathematical approaches to solve a series of questions of interdisciplinary research interests. New distance functions are designed for the verification of meteorological forecasts. Modern active contour method is applied to the forecasting of rotating storms. For hierarchical clustering, we design a new method to represent a group of points with a single point and the algorithm is applied to the construction of 3-branch hierarchical diagram.
dc.format.extent75 pages
dc.format.mediumapplication.pdf
dc.identifier99673609302042
dc.identifier.urihttps://hdl.handle.net/11244/320215
dc.languageen_US
dc.relation.requiresAdobe Acrobat Reader
dc.subjectNumerical weather forecasting
dc.subjectWeather forecasting--Mathematical models
dc.subjectCluster analysis
dc.thesis.degreePh.D.
dc.titleMATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION
dc.typetext
dc.typedocument
ou.groupCollege of Arts and Sciences::Department of Mathematics

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