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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。
An optimized ant colony clustering algorithm based on the rough set and colony intelligence is provided to use in text mining. 介绍了在粗糙集理论和群体智能理论的基础上提出的一种优化的用于文本挖掘的蚁群聚类算法。
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）。
Ant Colony Clustering Algorithm(ACCA) 蚁群聚类算法
ant colony clustering algorithm(ACA) 蚁群聚类算法
Secondly, by analyzing the characteristic of ants system, we make ants connect the similar data. We advance an adaptive ant clustering algorithm based on digraph(A3CD) which is more direct and easier. 其次,我们通过分析蚁群系统中蚂蚁的特点,将蚂蚁作为相似数据的连接者,提出了一种更为简单的基于有向图的自适应蚂蚁聚类算法A3CD。
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。
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。
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。
A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed. 摘要提出了一种基于模糊C均值算法和粒子群算法的混合算法。
Finally, a numerical example shows the applicability of the FCM clustering algorithm. 最后通过一个算例说明了该聚类算法的具体应用。
We give a feature appraising function which can be used to extract text feature and improve the clustering algorithm. 给出了一个特征评价函数用以进行特征提取；对一种基于相似度的平面划分聚类算法做了一些改进。