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- Varied Density Based Clustering Algorithm(VDBSCAN) 变密度聚类算法
- A Vertical Based Clustering Algorithm for Categorical Data 一种基于垂直分布的非数值数据聚类算法
- 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。
- ant based clustering 蚁群聚类
- 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。
- 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。
- 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。
- 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 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。
- Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone. 蚁群算法是受自然界蚂蚁觅食过程中,基于信息素的最短路径搜索食物行为启发,提出的一种智能优化算法。
- 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。
- Ant colony algorithm(ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of pheromone. 蚁群算法是受自然界蚂蚁觅食过程中,基于信息素的最短路径搜索食物行为的启发提出的一种智能优化算法。
- Based on the visual sampling principle, the generalized visual sampling based clustering approach VSC is proposed. 基于视觉采样原理，该文提出了一般化的视觉采样聚类方法VSC。
- In order to overcome the disadvantage of low efficiency of KM-AOI algorithm,an AOI clustering algorithm based on frequent pattern tree is presented. 为了克服KM-AOI算法聚类效率较低的缺点,提出了基于频繁模式树的AOI聚类算法,即在聚类过程中借助频繁模式树,采取分而治之的策略处理警报集以得到规则。
- 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）。
- To reduce the visual cluttering on large data, we propose a highly efficient clustering algorithm based on space-filling curves on the GPU. 提出GPU上基于空间填充曲线的聚类算法，可交互式地降低连接线的视觉杂乱度；
- The hypergraph based model and cluster algorithm in community structure discovery is applied. 该文把超图模型以及基于此的聚类算法应用到社区结构发现的领域。
- InVSAM,a named,logical entity providing access to the records of a base cluster either directly or through an alternate index. 在虚拟存储存取方法（VSAM）中，提供对一个基簇中的记录进行直接存取或是通过辅助索引存取的一个命名逻辑实体。
- This paper applied the hypergraph based model and cluster algorithm in community structure discovery. 摘要将超图模型以及基于此的聚类算法应用到社区结构发现的领域。
