In this paper, based on the natural integral operator on elliptic boundary, a nonoverlapping domain decomposition method is presented for a kind of anisotropic elliptic problem with constant coefficients in an exterio...
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In this paper, based on the natural integral operator on elliptic boundary, a nonoverlapping domain decomposition method is presented for a kind of anisotropic elliptic problem with constant coefficients in an exterior domain, and the convergence of the method is analyzed. The choice of the relaxition factor is *** numerical examples are given. Theoretical analysis as well as numerical examples show that our method is performance.
对基于密度的分布式聚类算法DBDC(density based distributed clustering)进行改进,提出了一种基于密度的分布式聚类算法DBDC*.该算法在局部筛选代表点时结合贝叶斯信息准则BIC,得到少量精准反映局部站点数据分布的BIC核心点,有效降低...
详细信息
对基于密度的分布式聚类算法DBDC(density based distributed clustering)进行改进,提出了一种基于密度的分布式聚类算法DBDC*.该算法在局部筛选代表点时结合贝叶斯信息准则BIC,得到少量精准反映局部站点数据分布的BIC核心点,有效降低了分布式聚类过程中的数据通信量,全局聚类时综合考虑了各站点数据的分布情况.实验结果表明,算法DBDC*的效率优于DBDC,聚类效果好.
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