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- 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。
- ant clustering algorithm 蚁群聚类算法
- 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。
- 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。
- 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。
- 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。
- Then, the data set is classified by PSO fuzzy clustering algorithm to adaptively detect the image edge points so as to extract an edge. 然后对这个数据集应用粒子群模糊聚类算法进行分类，自适应地检测出图像的边缘点，达到提取边缘的目的。
- Trace-driven experiments show that the TTR value obtained by ROCA is according to object modification,and fuzzy clustering algorithm can improve ROCA remarkably. 基于轨迹驱动的仿真结果表明;算法获得的刷新时间符合对象的修改规律;模糊聚类算法对ROCA有明显的改进.
- 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 algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
- In this paper, an approach is proposed to improve a FCM clustering algorithm and the fuzzy decision theory is adopted to optimize the parameter m in the algorithm. 针对一种FCM聚类算法的一些不足，提出了具体的改进与提高的方法，并引入模糊决策理论，进行算法参数m的优化选择。
- For T-S fuzzy model's system modeling,the fuzzy C-means clustering algorithm commonly used has the shortages of more iterative times and calculative time. 在T-S模糊模型的建模中,目前常用的模糊C均值聚类算法存在迭代次数多,计算耗时的缺点。
- 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）。
- 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。
- This passage presents a model of fuzzy query control, which absorbs two kinds of conceptions that is DMA and Clustering Algorithm, with the Clustering Algorithm as the most basic groundwork . 本文提出了一种模糊查询控制的模型,这个模型吸收了两种思想,即有穷自动机思想和聚类分组算法,基础是采用了分组算法。
- In this paper, an integrated fuzzy clustering algorithm GFC that combines gravity-based clustering algorithm GC with fuzzy clustering is presented. GC, as a new hard clustering algorithm presented here, is based on the well-known Newton?s Gravity Law. 根据所提出的基于Newton引力定理的引力聚类算法GC;结合模糊聚类算法;进一步提出了新的集成模糊聚类算法 GFC.
- Ant Colony Clustering Algorithm(ACCA) 蚁群聚类算法
- ant colony clustering algorithm(ACA) 蚁群聚类算法
