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clustering相关的网络例句

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与 clustering 相关的网络例句 [注:此内容来源于网络,仅供参考]

Hierarchical clustering of multivariate data or distance data; disjoint clustering of large data sets; nonparametric clustering with hypothesis tests for the number of clusters.

聚类多元数据或距离数据;大型数据集不相交的聚类;与集群的若干非参数假设检验集群。

This method has realized the state space decomposition of rotational speed and flux with the help of support vector clustering technique. In the process of clustering,the author proposed a proximity graph-based dynamic kernel parameter clustering method that is suitable for the control of motor rotational speed and glue pump flux in MDF production to solve the problem of high complexity of relative matrix calculation.

该辨识方法利用支持向量聚类技术实现电机转速与泵流量的状态空间分解,应用支持向量分类技术设计了多模型切换策略,并运用支持向量回归技术构建了状态空间内的转速与流量辨识模型。

The central contents of this article are as follows: First, subsection discretionary numerical sequence clustering method is advanced to replace previous method for its bad precision, after analyzeing each method of data clustering. Because of the shortcoming of complex in superior partition clustering method, a "choosing maximal distance" model is advanced according to the increment of dispersion measure within a cluster.

本文研究的主要内容如下: 1、分析用于数据分级的各个方法,由于任意数列分级结果的精度较差,提出了分段任意数列分级模型;针对最优分割分级方法计算量大的缺点,提出了以级内离差和的增量最大为依据的最大距离选取模型。

Xie-Beni index decreases with the number of partitions increasing. It is difficult to choose the optimal partition of data when the number of clusters is large. From the point of view of the compactness and the separation of clustering, a novel clustering validity function is proposed, which is based on the improved Huber Г statistic combined with the separation of clustering.

针对此问题,分别考察改进的Hubert Г统计量和聚类分离度,导出一个新的基于数据几何结构的聚类有效性函数,使得它有惟一的最大值,函数值随聚类个数增大而递减的趋势并不影响最优聚类个数的判定。

After analyzing the deficiencies of the traditional clustering algorithm DBSCAN (Density Based Spatial Clustering of Applications with Noise), a line oriented clustering method based on DBSCAN was proposed. The object clustered changed from the point to the line.

分析了密度聚类算法的局限性,在此基础上提出了一种基于密度的面向线段的聚类方法,将DBSCAN中聚类的对象由点转变为线段。

A new method of clustering based on mountain clustering and subtractive clustering is proposed.

在对山峰聚类和减法聚类进行分析之后提出了一种通过划分网格、规约数据、减法聚类3步完成的聚类算法。

In this paper, We introduce fake F-statistic and propose a dynamic Fuzzy K-means clustering analysis technology, this clustering technology can ensure a lest inner-cluster disperse matrix trace of final clustering result and partition the points in multi-dimension to different clusters with special numbers and get best cluster number.

利用文中基因序列图形表达建立H5N1病毒基因序列图形表达数据对本文聚类分析方法进行验证,结果表明该聚类分析方法具有较好的合理性。

of transitive closure based on equivalence relation, method of maximum fuzzy spanning tree based on fuzzy graph, and algorithm Fuzzy C-Means based on partition are more deeply investigated. Respectively, this thesis proposes an algorithm for document fuzzy clustering based on methed of transitive closure and an algorithm for document fuzzy clustering based on methed of maximum fuzzy spanning tree. Moreover, FCM is particularly studied from data standardization method, metrics method, and selection method of initial clustering prototype.

较深入地讨论了基于等价关系的传递闭包法、基于模糊图论的最大树法以及基于划分的模糊C-均值算法,分别提出了基于传递闭包法的文本模糊聚类方法ATCFC和基于最大树法的文本模糊聚类方法ATCMT;重点从改变规格化方式、改变度量方式、改变初始聚类原型选择方式三方面对FCM算法进行研究。

In the end of this paper, two new methods (sheet clustering method and index clustering method) are put forward on the basis of clustering analysis.

最后,从聚类分析的角度出发,提出了两种新的数据处理方法:表格聚类法和指标聚类法。

A new fuzzy Kohonen clustering network is proposed which integrates Fuzzy c-Means model as the fuzzy control mechanism into the learning rate and updating strategies of Kohonen network.It effectively overcomes the shortcomings which occur during clustering network parameters are adjusted heuristically The numerical results show improved convergence as well as reduced clustering errors.

本文提出了一种新的模糊Kohonen聚类网络,它将模糊c-均值作为模糊控制机制结合到Kohonen网络学习和更新策略中,有效地解决了经典Kohonen聚类网络中学习参数启发式调整的缺点,仿真结果表明网络的收敛性和分类结果都得到了很大改善。

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