如果带静态(或全局)变量的迭代器类或函数取决于多个数据状态，则出现两个问题。
If an iterator class or a function with static (or global) variables depends on multiple data states, two problems come up.
要数据编组的对象必须是类的一个实例，该类是用绑定中的全局映射定义的。
The object to be marshalled must be an instance of a class that's defined with a global mapping in the binding.
当安装或者卸载一个RPM改变了全局类映射数据库时，我们将使用该程序，并且该程序应该运行在RPM的%post和%postun部分。
This program is used when installing or uninstalling an RPM to update the global class mapping database, and should be run in your RPM's % post and % postun sections.
为了访问一个用户定义的类里的私有数据，你必须声明全局函数为友元函数，并且在类中定义。
But to be able to reach any private data within a user defined class you have to declare the global function as a friend within the definition of the class.
分别采用模糊c -均值聚类方法和快速全局C -均值聚类两种算法实现化工建模所需训练数据的有效提取。
In order to getting the effective training data of chemical engineering modeling, two algorithms that fuzzy C-means and fast global fuzzy C-means clustering were used.
针对名老中医病例的结构特点，设计了一种基于模拟退火的聚类算法对数据库中病例聚类进行全局优化。
According to characters of herbalist instances, the article designed a clustering arithmetic which based on simulating anneal to optimize the herbalist instances in database.
该算法不需标准化数据，应用一种基于统计直方图的全局准则函数进行聚类，特别适用于大规模数据。
This algorithm does not have to standardize the data, uses a kind of global criterion function based on the statistical histogram to depict clusters, specially is suitable for the large-scale data.
通过聚类，人们能够识别密集的和稀疏的区域，因而发现全局的分布模式，以及数据属性之间有趣的相互关系。
By clustering, one can identity dense and sparse regions, therefore, discover overall distribution patterns and interesting correlations among data attributes.
通过聚类，人们能够识别密集的和稀疏的区域，因而发现全局的分布模式，以及数据属性之间有趣的相互关系。
By clustering, one can identity dense and sparse regions, therefore, discover overall distribution patterns and interesting correlations among data attributes.
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