In testing, a common approach is to divide the input and output domains into equivalence classes.
在测试中，通常的做法是将输入和输出分为两个等价类。
Its basic idea is to merge the equivalence classes of q on basis of the methods of data filtering.
首先提出主泛化决策等概念，在数据过滤方法的基础上，利用等价类的合并对属性离散化。
If you click the Overview TAB, you will see the equivalence classes section, where you can define the equivalence classes that you need for your testing.
如果您点击Overview标签，您会看到Equivalence classes章节，在这里您可以为您的测试定义需要的等价类。
In this paper we introduce special morphisms on difference sets and we prove that the quotient of the equivalence classes defined by special morphisms is a difference set.
在差分集中引入了特殊态射，证明了由特殊态射定义的等价类所作成的商还是差分集。
Afterwards, equivalence classes are mapped into matrix representation. Therefore various factors are computed to rank the similarity of the selected video clips by characters of the matrix.
然后把等价类映射为矩阵表达形式，再通过矩阵的特性来度量影响片段相似度的不同因子，实现了相似片段的排序。
Notice that when you change the variables on one equivalence class, that change cascades to the other classes.
注意，当您改变一个等价类的变量时，这个变化会串联影响到其他等价类。
Notice that when you change the variables on one equivalence class, that change cascades to the other classes.
注意，当您改变一个等价类的变量时，这个变化会串联影响到其他等价类。
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