查询词典 clustering

Compared with K-means clustering, a novel clustering algorithm called affinity propagation has been developed by Frey and Dueck, which can produce a good set of cluster exemplars with fast speed.

此外，一些新的聚类方法也陆续被提出，最近由Frey 和 Dueck发表的近邻传播算法就是一例，该方法的优点是能快速的产生一组聚类中心。

This arithmetic combined the rules of the accomplishment of the Genetic Algorithm and the rules of the traditional Fuzzy Clustering, so it can not only enhance the performance of Clustering Analysis, but also accelerate its constringency.

它把遗传结束的准则与传统算法的终止准则有机地结合起来，不仅提高了算法的聚类分析性能，也提高了算法的收敛速度。

This approach not only inherits the advantages of absolute density based algorithms which can discover arbitrary shape clusters and are insensitive to noises , but also efficiently solves the following common problems: clustering results are very sensitive to the user-deflned parameters, reasonable parameters are hard to be determined, and high density clusters are contained fully in coterminous low density clusters. With this approach, incremental clustering can also be supported effectively by defining the affected sets and seed sets of the updating objects in this approach.

聚类算法的有效性问题主要表现在三个方面：其一，聚类算法大多要求用户输入一定的参数，例如希望产生的簇的数目，而这些参数通常难以确定，特别是针对高维空间中稀疏分布的实际应用数据集，用户几乎无法给出合适的算法参数，因此非专业用户需要与数据分析专家密切配合才能保证获得理想的聚类结果，导致算法的使用极为不便；其二，聚类结果对于输入的参数值过于敏感J，往往参数值的一些轻微变化却产生聚类结果的很大差异；其三，对于高维的实际应用数据集，其数据分布往往是稀疏的、杂乱的，很难为算法选择全局的参数进行准确的聚类分析，使得聚类的质量难以保证。

The deterministic process accelerates convergence speed of algorithms.(2) To counter the defects of traditional clustering model, some research in clustering model has been done.

本课题的研究属计算机理论研究的前沿领域，是关于新计算模型的研究，具有重要的理论意义和实用价值。

Based on the existing literature and the development of clustering and observation on firms' behavior, we find an endogenesis imitation and competitive and cooperative mechanism. We examine how the clustering innovation starts from the perspective of firm behavior.

结合相关文献分析和对现实中集群发展历程及企业行为的观察，可以发现其中的内生性模仿机制和竞争性、合作性创新机制，从企业行为机制视角观察集群创新是如何启动的；在企业不同阶段和不同集群类型中，企业模仿和创新的路径也不同。

Fuzzy Clustering with matlab fuzzy equivalent matrix based on the fuzzy clustering method.

详细说明：模糊聚类，用matlab实现基于模糊等价矩阵的模糊聚类方法。

To overcome the above problems,authors present a Hierarchical algorithm based on Communication range Restraining Clustering.It first studies single-level protocol based on Communication range Restraining Clustering and then father node is selected in every layer in terms of communication range restraining to reduce the number of data package transmission.

针对这种问题，提出了一种基于通信范围约束的多层簇类算法，基于单层次的数据融合结构，给出了多层次的数据融合，然后对每一层簇头通过通信范围选择父节点，减少数据包传输次数。

The paper presents a new geometric feature according to the characteristics of fabric defects, and use the mean geometric feature value of each defect class as the initial clustering center to improve the result of clustering.

根据布匹瑕疵的特点提出一种新的几何特征，并使用各类瑕疵的几何特征均值作为初始聚类中心，提高ISODATA算法的聚类效果。

The simulation of clustering demonstrates the superiority of the fuzzy hypersphere clustering neural network.

模式聚类的数值仿真解释了模糊超球聚类神经网络的优越性能。

Then, it is pointed out that grey interval incidence coefficient formula is an improvement of classic grey incidence coefficient formula, while the method for grey interval clustering decision is generalization of method for classical grey clustering decision.

灰色区间关联系数公式是经典灰色关联系数公式的推广，而灰色区间聚类决策是经典灰色聚类决策方法的拓展。

Metrorrhagia is also gynaecological problems of common diseases.

崩漏是妇科常见病也是疑难症。

WordFTP gives you the convenience and timesaving you need.

wordftp让您的方便和省时您所需要的。