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Based on MPI message-passing mode, a parallel clustering algorithm is presented and implemented on cluster computing system by applying mapping and sampling-partitioning techniques. 摘要采用映射和抽样划分方法，基于MPI消息传递编程模式，在机群系统上设计与实现一种并行聚类算法。
Based on MPI message-passing mode,a parallel clustering algorithm is presented and implemented on cluster computing system by applying mapping and sampling-partitioning techniques. 采用映射和抽样划分方法,基于MPI消息传递编程模式,在机群系统上设计与实现一种并行聚类算法。
The paper presented the parallel cluster algorithm of adaptive particle swarm optimization, which adopted task parallelization and partial asynchronous communication to decrease the computing time. 摘要提出了基于自适应微粒群优化的并行聚类算法，采用了任务分布方案和部分异步并行通信，降低了计算时间。
The paper presented the parallel cluster algorithm of adaptive particle swarm optimization,which adopted task parallelization and partial asynchronous communication to decrease the computing time. 提出了基于自适应微粒群优化的并行聚类算法,采用了任务分布方案和部分异步并行通信,降低了计算时间。
parallel clustering algorithms 并行聚类算法
This algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
This paper presents a similarity-based grid clustering algorithm (SGCA). 摘要提出了一种基于相似度的网格聚类算法（SGCA）。
Classification algorithms and clustering algorithms that contain predictable nested tables. 包含可预测嵌套表的分类算法和聚类分析算法。
Simulation results show that the proposed scheme outperforms LCC and HD clustering algorithms. 仿真结果表明;该方法的稳定性优于HD算法和LCC算法.
An integrated method was proposed by combining subtractive clustering and fuzzy C-means (FCM) clustering algorithms. 该方法以减法聚类算法得出的样本的最佳分类数为基础,用FCM聚类算法得到具体的分类结果。
parallel partitional clustering algorithm 并行划分聚类
The computer emulating result proved that this algorithm excel the LBG and fuzzy clustering algorithm. 仿真结果证明该算法大大优于LBG法[1]和模糊聚类法[5]
Fuzzy K means clustering algorithm can segment white matter,gray matter and CSF better from the MR head images. 模糊K－均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。
A fast clustering algorithm based on hypersphere of the multidimensional space is presented. 摘要提出了一种基于多维空间超球体的快速聚类算法。
LEACH is a typical clustering algorithm, in which clustering nodes play the leading role. LEACH算法是一种典型的分簇路由算法，簇头的选取直接影响到算法性能的优劣。
The two Fuzzy C-Spherical Shell (FCSS) clustering algorithms based on the same object function are analyzed and a new algorithm is proposed. 通过对基于同一目标函数的两种模糊C-球壳(FCSS)聚类算法性能的比较与分析,提出一种新算法。
Addressed with information theory,the approaches employ a clustering algorithm to modularize ontologies. 借助信息论的相关知识,将本体聚类成语义模块。
This paper proposes a modified fuzzy C-means (MFCM) clustering algorithm to cluster all images before retrieval. 论文采用了一种基于改进的模糊C均值算法来聚类图像。
The nearest neigbor clustering algorithm is used to train the RBF neural network. 利用具有在线能力的最近邻聚类学习算法，训练RBF神经网络。
A vector clustering algorithm is proposed to cope with the inefficacy of traditional clustering algorithms to vector data. 针对传统聚类分析不能有效处理矢量数据聚类的问题,提出矢量聚类算法。