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《Engineering of Surveying and Mapping》 2009-02
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Multi-Quadric function based on the K-means clustering algorithm and its application in DEM spatial data interpolation

FENG Yang-min,ZHANG Ju-qing(School of Geology Engineering and Geomatics,Chang'an University,Xi'an 710054,China)  
The location of the centre nodes is one of the key factors to affect the multi-quadric's accuracy approximation.Based on the clustering algorithms,this paper adopts the K-means clustering to choose the centre nodes,which will give a better response to the space data around them,and improve the fitting accuracy.Finally,an example is given to demonstrate the validity of the method.
【CateGory Index】: P228.4
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