| 基于K—means聚类的多面函数及其在DEM内插中的应用 |
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| 引用本文： | 冯杨民,张菊清.基于K—means聚类的多面函数及其在DEM内插中的应用[J].测绘工程,2009,18(2):16-18. |
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| 作者姓名： | 冯杨民 张菊清 |
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| 作者单位： | 长安大学,地质工程与测绘学院,陕西,西安,710054 |
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| 摘 要： | 中心节点的位置是影响多面函数拟合精度的关键因素之一。基于聚类算法的思想，提出采用基于K—means聚类的方法选取中心点，使得构造的中心节点对数据范同内的数据得到更好的响应，从而提高拟合的精度。最后通过实例验证本方法的有效性。
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| 关 键 词： | 多面函数 中心节点 K-means聚类 |
Multi-Quadric function based on the K-means clustering algorithm and its application in DEM spatial data interpolation |
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| FENG Yang-min,ZHANG Ju-qing.Multi-Quadric function based on the K-means clustering algorithm and its application in DEM spatial data interpolation[J].Engineering of Surveying and Mapping,2009,18(2):16-18. |
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| Authors: | FENG Yang-min ZHANG Ju-qing |
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| Institution: | (School of Geology Engineering and Geomatics, Chang＇an University, Xi＇an 710054, China) |
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| Abstract: | 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. |
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| Keywords: | multi quadric function centre node K-means clustering |
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