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- spatial clustering algorithm 空间聚类算法
- A subspace clustering algorithm for high dimensional spatial data was proposed, which added the affect of neighbored grids when clustering. 为此提出了一种高维空间数据的子空间聚类算法，扩展了相邻聚类空间。
- This algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
- Based on mathematical morphology, a new algorithm of3 D spatial clustering was presented, which clustered spatial objects by closure operation. 提出了一个基于数学形态学的三维空间聚类算法。
- Modifying the objective function of FCM and introducing a variable as the parameter to control the tight degree of neighborhood effect present a spatial model to FCM clustering algorithm. 本文改进了传统FCM的目标函数,引入控制邻域作用紧密程度的参数,提出了一种能够更加合理地运用图像的空间信息,改进的模糊C-均值聚类算法。
- The spatial clustering or concentration of industrial activities is known as industrial agglomeration. 工業集聚是一些工業活動在空間上的結集和集中。
- DBRS+ has been empirically evaluated using synthetic and real data sets and its performance has been compared to other spatial clustering methods. 已经使用合成的和真实的数据对DBRS+进行了实证评估，并将该方法的性能和其它空间聚类方法进行了比较。
- 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）。
- Prototype models depicted in the photographs show how snapping at different segments at different sequences might result in different kinds of spatial cluster. 原型模型描述的照片显示如何结束在不同阶层不同序列可能会导致不同类型的空间集群。
- 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。
- density-based spatial clustering 基于密度的空间聚类
- 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。
- high dimensional spatial clustering 高维空间聚类
