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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]

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。

To analyze and compare the characters of Fuzzy c-Means clustering and artificial immune network aiNet clustering, conclude that Fuzzy c-Means clustering does not work well if the underlying classes or clusters deviate strongly from hyperspherical structures, aiNet is capable of reducing redundancy, describing data structure, including the shape of clusters by experiments on relatively gathering data set, scattering data set, annular data set and corkscrew data set.

分析比较了模糊C 均值聚类算法FCM 和人工免疫网络aiNet 聚类算法的特性,通过它们对相对集中数据、稀疏分散数据、环状和螺旋分布数据聚类来进行比较,得到当遇到潜在的类或簇背离超球面结构时,FCM 算法表现不佳,而aiNet 可以很好的发现数据的内在特征,减少数据中的冗余、描述数据结构和聚类形状,表现良好的适应性。

An improved algorithm for shot segmentation and key frame extraction based on clustering is proposed, a referenced variable is used in unsupervised clustering to resolve the frame sequence's incontinuity or false segmentation problems which can be caused probably by unsupervised clustering.

提出了一种改进的基于聚类的镜头分割和关键帧提取算法,在无监督聚类中引入一个参考变量,解决了利用无监督聚类进行镜头分割和关键帧提取时可能产生的帧序不连续或分割错误的问题。

Compared wth traditional static clustering,dynamic automatic clustering has the following characteristics:real-time dynamicness,limited number of documents to be clustered every time,localness of document data to be used for clustering and randomness of the distribution of resources to be clustered in the whole resource set.

与传统静态聚类系统相比,动态自动聚类系统有以下特点:聚类是动态进行的,它是在检索结果返回的基础上进行的实时操作;每次聚类的文献对象数量有限;用来作为聚类依据的文献数据只是文献的局部;参与聚类的资源在整个资源集合中的分布是随机的。

Moreover, the actual allele frequency of most varieties deviates far from Hardy-Weinberg equilibrium. All PPB、na 、I、h、Gi and Fst have proved to be the references to elucidate that ISSR is a most powerful tool to analyze genetic diversity, compared with the RAPD marker and the allozyme marker is less strong ordinally. We could divided the 70 samples into A, B, C, D and E five groups using three methods according to genetic distance clustering. There is a bit displacement for few varieties in different clustering maps, but the most are similar to morphological analysis despite that there is still a great difference among cultivars in the same one group. The above results imply that the three methods have the different sensitivity and resolution in genetic distance analysis of close varieties. The Mantel test indicates that the results from the three kinds of markers have the significant correlation, which demonstrates that the number of the used three kinds of markers is enough to exactly detect the diversity of all 70 samples to ideal extent. And these methods can be used to evaluate the diversity of the whole group using the miscellaneous samples instead of the individual sample, of the Gerbera jamesonii are mainly from tissue culture plants. In conclusion, the above study results provide a reference for the application of three kinds of molecular markers to molecular marker-assisted breeding of flower. 2. The genetic diversity among the eight introduced cut-flower varieties of Ranunculus asiatica was analyzed by the ISSR markers. Based on the genetic clustering tree, all the colorful flower varieties are clustered into one group, and the white flower varieties into another group. Moreover, among the former group the yellow flower varieties are clustered into one sub-group, and the reddish flower varieties, such as rose color, pink, nacarat, are clusetered into another sub-group.

由三种分子标记的分析结果可以看出,等位基因平均值、观察杂合度、Fis值、Fit值皆较高,表明非洲菊等位基因较丰富,杂合基因偏多,且绝大部份品种的实际等位基因频率在品种内偏离了Hardy-Weinberg equilibrium;PP8、na、Ⅰ、h、Gi及Fst皆表明,ISSR检测遗传多样性的能力最强,其次是RAPD,等位酶最低;根据遗传距离进行聚类,三种方法都把70个品种分成A、B、C、D、E五个大组,每一组中除少数品种发生位移外,大部份品种分类结果相似,且与形态分析结果有相似性,但在每一组中,品种间的聚类差别较大,表明这三种方法在近距离品种间检测遗传变异时灵敏度及分辨力不同;Mantel检测表明,三种标记的分析结果有显著相关性,表明所用的三种分子方法的标记数量已经可以相对无偏地检测到70个品种间遗传变异;非洲菊为组培苗,三种标记的检测结果皆表明,混合样品可以作为个体样品的代表,对整个居群的遗传多样性进行评价;这些研究结果可为三种分子标记方法在花卉分子辅助育种中的进一步应用提供借鉴。

Traditional grid clustering methods fail to consider the affect of neighbored grids , and may result in unsmoothed clustering , wrong judgement of clustering boundary , etc .

传统网格聚类方法由于没有考虑到相邻网格内的数据点对考查网格的影响,存在不能平滑聚类以及聚类边界判断不清的情况。

Besides, the advantages of both hierarchical clustering algorithm and partitional clustering algorithm are also incorporated into the ICA clustering algorithm.

此外,双方优势的阶层式聚类法和分割式聚类法也纳入区间式竞争分群演算法。

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