聚类

The average interspecific divergence was 3.860%, and special sites were found in each chicken breed which was the bases to identifying chicken breeds. The DNA taxonomy of Bar1 used NJ was consistent with morphological taxonomy among the six indigenous chicken breeds. However, the analysis of Bar2 sequences of COⅠindicated that they were lower polymorphism and no special site in most chicken breeds which was not benefit to identify chicken breeds. The DNA taxonomy of Bar2 used NJ was not consistent with morphological taxonomy among the six indigenous chicken breeds.

本研究选择的2段序列中，以Bar1序列648bp（712位点到1359位点）多态性最高，突变位点最多，为24个，品种间平均多态性为3.860%，6个鸡种在此序列中有各自不同的特异位点，NJ聚类分析6个品种基本被聚为不同的类别，与形态学分类基本一致，该COⅠ基因的Bar1序列用于这些品种鉴定是可行的；而Bar2序列进行序列多态性分析，由于其多态性低，大多品种没有其特异位点，NJ聚类分析6个品种基本被聚为不同的类别，与形态学分类基本一致，不利于品种鉴定。

In order to solve this problem, an improved pyramid technique based on fuzzy clustering is put forward. This new strategy uses a certain fuzzy clustering scheme on the original data sets at first, and then it applies pyramid technique on each cluster. By this means, the pyramid technique can be available in not only uniform data sets but also ununiform data sets.

为此，提出了一种改进的基于模糊聚类的金字塔技术，并将其用于高维划分策略，先对数据集进行模糊聚类处理，然后针对每个聚类进行金字塔划分，从而较好地实现了对非均匀分布数据的高维划分。

Text clustering, one of the most important research braches of clustering, is the application of clustering algorithm in text processing.

文本聚类是聚类的一个重要研究分支，是聚类方法在文本处理领域的应用。

Experimental results show that the novel semi-supervised clustering algorithm could effectively improve the cluster centroids initialization and enhance clustering performance.

实验结果表明，所提出的基于Tri-training和数据剪辑的DE-Tri-training半监督聚类新算法能够有效改善seeds集对聚类中心的初始化效果，提高聚类性能。

An improved K-Means Algorithm based on Density is presented,with which K value of clustering number is located according to the clustering objects distribution density of regional space,and it uses centroids of high -density region as initial clustering center points.

该算法采用聚类对象区域空间的密度分布方法来确定聚类个数K的值，然后用高密度区域的质心作为K-Means算法的初始聚类中心。

The dendrogram sharpening has been applied to the cluster analysis to form the algorithm of cluster analysis with dendrogram sharpening.

聚类过程中，将树状锐化算法运用到层次聚类算法过程中形成了树状层次锐化聚类算法。

The function of fuzzy cluster analysis modeling is to cluster the results obtained by above modelings.

模糊聚类分析模型的作用是对上述模型的运算结果进行聚类分析，根据聚类结果，确定区域高新技术优先发展领域。

So it is obvious that outputs are especially sensitive to initial starting condition for random selections about K initial starting points, which will lead to bad solutions, so the quality of cluster relys on the initial starting ponts.

但是由于K-means算法在选择初始聚类中心时是随机选取K个点，因此一旦这K个点选取不合理，将会误导聚类过程，得到一个不合理的聚类结果。

The algorithm was used via the Yeast Saccharomyces cerevisiae cell cycle gene expression profile from SGD to co-express clusters. Compared to the experiment analyzed by Spellman for function al genomics, the efficiency of this algorithm in the functional genomics can be proved.

把此算法应用于斯坦福大学酵母细胞周期表达数据库的数据进行共表达聚类，并将实验结果与Spellman按照功能基因组学进行聚类所得结果进行了对比，证明了所给算法在功能基因组学聚类上的有效性。

The algorithm was used via the Yeast Saccharomyces cerevisiae cell cycle gene expression profile from SGD to coexpress clusters. Compared to the experiment analyzed by Spellman for functional genomics, the efficiencyof this algorithm in the functional genomics can be proved.

把此算法应用于斯坦福大学酵母细胞周期表达数据库的数据进行共表达聚类，并将实验结果与Spellman按照功能基因组学进行聚类所得结果进行了对比，证明了所给算法在功能基因组学聚类上的有效性。

Since historical times,England ,where the early inhabitants were Celts, has been conquered three times .

从有历史以来，英国，在此地早期居住的是凯尔特人，已经被征服了三次。

Bluetooth OBEX File Transfer Enables the sending and receiving of files on your phone via Bluetooth.

蓝牙OBEX文件移动允许经过蓝牙传送和接受文件。。。。