分类上的

N[1] and[2], the classification theory of indices set of irreducible nonnegative matrices isstudied,according to that theory . An algorithm for the period and the classification of indices setof irreducible nonnegative matrices are given. Using this algorithm.

文［1］和［2］讨论了不可约非负矩阵指标集的分类理论，在此基础上，本文给出了不可约非负矩阵的周期与指标集的分类算法，这一算法能同时求出周期与同余类，当矩阵的阶不大时，该算法容易在图上实现。

The results indicated:（1）the combination of the Markov and spatial logistic models can improve the predictability of each model individually. In macroscopic scale, the total land use amount can be predicted via Markov chain; in microscopic scale, the multi-class multinomial logistic model can be used to implement the combined calculations of categorical variable and continuous variable, qualitative variable and quantitative variable to improve the precision of spatial regression. Meanwhile, the transition probability of each land use unit will be confirmed and the prediction of land use spatial distribution will also be completed.（2）the application system developed in accordance with the integrated model can effectively simulate and predict the land use evolution in Shenzhen City, and the prediction precision of verification system will suffice for recent land use monitoring and the making of annual land supply planning.

研究结果：（1）空间Logistic和Markov模型集成可提升单一模型的应用能力，宏观上利用Markov Chain进行土地利用规模总量预测，微观上利用多分类Multinomial Logistic模型解决分类变量与连续变量，定性变量和定量变量的联合解算提高空间回归精度，同时可以确定每一个土地利用单元转移概率，实现土地利用空间分布的预测；（2）基于集成模型开发出的应用系统能够有效仿真和预测深圳市土地利用演化，通过验证系统预测精度能够满足近期土地利用预警和年度土地供应计划编制。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法，由于其在解决不确定性问题上存在诸多缺陷，近年来，将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.Because there are many defects,a new tendency is that the mathermatical theory of evidence has been applied to remote sensing image classification.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法，由于其在解决不确定性问题上存在诸多缺陷，近年来，将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

Finally, the ideas of principal component analysis and support vector machine can also be used to document classification, the results of simulation is discussed.

在此基础上，提出了一种Web文档分类的基本框架，分析了用于文档分类的降维技术，给出了基于主分量分析和支撑矢量机的文档分类的基本思想，分析了仿真实验的结果。

By means of three years investigation of peach-blossom cultivars found in Beijing, and based on the classification system of flower culti-vars presented by professor Chen Junyu, the author uses the branching habit as the first classification criterion, flower-form as the second criterion, and flower-color, number of petals and calyces as the third criterion.

作者在北京市桃花品种调查的基础上，以枝姿作为第一级分类标准；以花型作为第二级分类标准；以花色、花瓣数、花萼数等作为第三级分类标准。并将花瓣5枚的定为单瓣；花瓣10—40枚的定为复瓣；40枚以上的定为重瓣。

A method for categorizing university positioning is presented based on an analysis of current categories of university positioning.

在对大学定位的必然性和现有的大学定位分类方法分析的基础上，提出了自己的分类方法，并运用这一方法对省属高校进行了分类研究。

So, this paper is about the research of a Rough Set-Based method classing customers applied in Customer Relationship Management. Firstly, we obtain data from the Customer Relationship Management system, and convert them intorelevant decisiontable.

但是，在客户关系管理中使用的基于粗糙集理论的客户分类方法却较少见，而利用粗糙集理论进行客户分类具有一定的优势，因此本文将在粗糙集理论的基础上，采用了一种基于粗糙集的客户分类方法。

The proposed algorithm first detects smooth intervals based on gray variance from the original frame sequence, then concatenates them to constructs a new frame sequence. After that, video features such as pixel-wise difference, HSV histogram difference and edge histogram difference are fed to a SVM classifier to decide the types of different shot boundaries.

第一级分类器根据视频帧灰度方差特征，将无明显变化的视频序列从原始视频序列中分离出去，得到一个新的视频序列；第二级分类器在新视频序列的基础上，提取视频图像的像素对差值、HSV空间颜色直方图的各分量差值以及边缘直方图X，Y分量差值等视频特征，并采用支持向量机多分类策略进行镜头边界类型的检测。

The similarity between 71.8% of 41 detected sequences and published clone sequences were less than 97%, which represented a new community and 15.3% of the clone sequences which identitied with GenBank clone sequences were under 85%, which may represent some new families or suborders.

在这些克隆序列中有71.8%的克隆序列同已知序列的相似性低于97%，属于放线菌的新类群，这些可能的新类群中有15.3%的克隆序列与已知菌株的相似性小于85%，这些克隆序列的分类地位都在科一级的分类单元上，有的可能分类地位更高。

I didn't watch TV last night, because it .

昨晚我没有看电视，因为电视机坏了。

Since this year, in a lot of villages of Beijing, TV of elevator liquid crystal was removed.

今年以来，在北京的很多小区里，电梯液晶电视被撤了下来。