聚类

The result was basically consistent with three methods which was NJ, ME, UPGMA constructed in molecular phylogenetic tree, the gayal was clustered together with cow firstly, chimpanzee, rhesus monkey and human clustered together, then together with each other, followed by other species.

用NJ、ME和UPGMA等3种方法聚类构建的分子系统进化树表明，3种方法的聚类结果基本一致，即大额牛与普通牛首先聚为一类，人、黑猩猩、恒河猴也先聚为一类，这两类相聚后再依次同其他物种聚在一起。

The algorithm automatically determines the number of clusters, modifies the demoid according to the frequency of the attribute values within each cluster and gives out the interpretations of the clustering with the conceptual complex expression.

该算法能够自动确定聚类数目，依据聚类内部属性值的频繁程度修正聚类中心，通过概念归纳处理，用概念合取表达式解释聚类输出。

By using the kernel function, the input space is mapped to a high dimension feature space where the data are expected to be more separable, the initial centroids in the feature space are selected by applying the KRA algorithm, and the large and small clusters are partitioned and the outliers can be split from the large clusters iteratively after the kk-means clustering. As a result, the audit data can be clustered better. Secondly, the closed sequential patterns mining algorithm CloSpan is improved according to the restrictions that is composed of the axis properties and reference properties.

该方法通过核函数把数据样本空间映射到一个高维的特征空间，使数据在新的空间中具有更好的可分离性；在特征空间采用KRA算法选取初始聚类中心，然后在核k-means聚类的基础上，划分出大簇小簇并在大簇中分离出异类再次进行核聚类，从而不断地优化聚类结果。

Subsequently, clustering analysis in data mining is disserted, involving the methods and characteristics of clustering used in data mining and the methods for evaluating the clustering results, with emphasis on clustering the data with categorical attributes.

在此基础上对数挖掘中的聚类分析作以详细地论述，总结了数挖掘中聚类分析的方法和特点，并对聚类结果的评价方法进行了讨论，重点讨论了分类属性数据聚类，具体研究了k-modes 算法及其变形，并指出了它们的优缺点。

Automatic color transfer effectively solves this issue. Carve up Roseau and subtractive clustering is applied in this paper. Completely automatic algorithm implementation is realized. In clustering, pixels are selected according to their brightness, and those with larger data density are cluster to sample block. First of colors in the same block are transferred first, others are transferred later.

本文将网格划分减法聚类应用到颜色迁移中，完全实现算法的自动化，聚类方法按照亮度值的大小依次聚类，从各个聚类域中提取出数据点密度较大的像素点集组成样本块，首先对每个样本块间进行颜色迁移，再完成样本块以外的其他像素的颜色迁移。

The upper bound of error probability is used as the criteria of clustering and the evaluation of the clustering result. On the basis of initiatory clustering based on distance functions, the algorithms named"pick-over"and"fill-up"are proposed to minimize the upper bound of error probability.

我们将聚类准则即模式相似性测度问题和聚类结果的评价指标统一为总的最小错误概率上界，在算法实现上，首先先用基于距离函数的聚类方法得到初分类，然后采用基于最小错误概率的&抽取&和&回填&算法得到使总的错误概率上界最小的聚类结果的分析方法。

Because there are the characteristics of uncertainty and mixing meta-pixels in the remote-sensing images, the classical fuzzy c-means method has a low accuracy in the remote-sensing image clustering. This paper improves the fuzzy c-means method. And it adds a-priori information into the patterns to change the method as a semi-supervised clustering. In the clustering process, the unlabelled patterns compare similarities with the labeled patterns, and then the accuracy of the algorithm can be increased.(3)The paper proposes an interactive learning-based image mining in remote sensing.

由于遥感图像各类别在特征空间中散点图的分布的特点，本文对传统的FCM聚类算法进行改进，并且加入先验信息之后，将原来的非监督的聚类变成一种半监督的聚类方法，通过与已标签的样本进行相似性比较，能有效地提高聚类算法的准确度。

The process of spatial data mining was given, and an artillery position selection system was realized.

该聚类算法通过闭合运算，将空间对象聚成类，一次完成三维空间聚类，可以快速处理非凸的、复杂的聚类形状。

K-means, and self-organizing map and the feature selection methods based on coefficient of variation and simple T-test were integrated. To evaluate the performance of the Samcluster system, the Samcluster was applied to four expression datasets COLON, LEUKEMIA72. LEUKEMIA38, and OVARIAN. The results show that there are only 5, 1,0, and 0 samples misclassified, respectively. We conclude that the proposed scheme. SamCluster. is an efficient method for automatic discovery of sample classes using gene expression profile.

在Samcluster系统中，整合了下列聚类算法：谱系聚类、K-平均值聚类和自组图聚类与变异系数计算和T-检验等基因变量选择方法，并提出了一致的样本分型概念，通过对四个基因表达谱的数据集COLON、LEUKEMIA72、LEUKEMIA38和OVARIAN的测试，结果表明：误判的样本数分别为5、1、0和0个，因此，基因水平的样本分型与样本的临床分型高度一致。

Firstly, this paper carries a deep research of K-means which is one of clustering analysis algorithms, and proposes an efficient clustering algorithm based upon vector space initial clustering and nearby cluster search, which is composed of the two sub algorithms SPIC and CANC.

本文首先对聚类分析方法中的K-means算法展开深入研究，提出了一种基于向量空间预聚类和邻近簇调整聚类的高效聚类算法，该算法由两个子算法部分构成：SPIC子算法和CANC子算法。

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。。。。