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- 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。
- Fast clustering algorithm based on Quad-tree 一种基于四叉树的快速聚类算法
- Fast Clustering Algorithm Based on Hypersphere of Multidimensional Space 一种基于多维空间超球体的快速聚类算法
- A fast clustering algorithm based on grid and density condensation point 一种基于网格和密度凝聚点的快速聚类算法
- fast clustering algorithm 快速聚类算法
- This algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
- So we put forth a fast fuzzy c-means (FFCM) clustering algorithm used for segmenting MR brain images according to the characteristics of the algorithm and MR brain images. 根据模糊C-均值聚类算法和磁共振颅脑图象的特点，我们提出了一种分割磁共振颅脑图象的快速模糊C-均值(简称FFCM)聚类算法。
- 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）。
- This article promoted outlier data mining algorithms based on weighted fast clustering to inspect and deal with outlier data effectively. 设计了基于加权快速聚类的异常数据挖掘算法,以便能快速发现异常数据。
- Hence, the ICA clustering algorithm converges fast in a few iterations regardless of the initial number of clusters. 因此，无论最初的数目族群，区间式竞争分群演算法可以快速收敛。
- 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。
- 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。
- 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。
- This paper presents a new data Clustering algorithm based on glowworm swarm optimization (GSO) algorithm. 本文提出了一个新的分群架构。运用此架构，我们可以使执行时间相较于原本的方法有大幅度的缩短。
- The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS. 摘要提出了一种基于方向相似性度量的蚁群聚类算法。
- In order to improve the efficiency we propose a distributed clustering algorithm based on large data sets. 为了提高聚类效率提出了一种基于分布式的大数据集聚类算法。
- This paper introduces fuzzy clustering algorithm into analyzing software metrics data. 文中将模糊聚类算法应用到软件度量的数据分析中。
