1) difference of classification
类差
1.
The difference of classification is a kind of difference of different production in consumer s mind.
类差是不同产品类别在消费者心中所存在的差异 ,本文借助分类理论 ,揭示定位的位序建构 ,寻求类差塑造的一般战术。
2) class variance
类别方差
1.
Firstly,based on the Otsu′ single threshold segmentation method,a double-threshold segmentation method founded on class variance was proposed.
结合Otsu单阈值图像分割算法,提出了一种基于类别方差的双阈值分割算法。
3) classes square error
类间方差
1.
This paper discusses the basic principles,operations and features of genetic algorithms,and takes the method of maximum classes square error as an example to describe the method and procedure about applying genetic algorithms in optimizing the selection of image threshold.
论述了遗传算法的基本原理、操作和特点，并以图像阈值选取中的最大类间方差法为例，给出用遗传算法优化图像阈值选取的步骤和方法，实验结果表明了这一方法的有效性。
4) classification error
分类误差
1.
According to the index of classification error, an experiment was designed to measure the performance of various feature sets.
研究了线性预测系数(LPC)及其导出的几种语音特征集,定义了分类误差指标,并设计出相应的分类实验衡量这些特征集的性能。
5) analogue difference
类差分
1.
This paper presents the concept of analogous difference of Boolean function, and call the Boolean function an analogue difference balanced function if whose analogous difference is balanced at any nonzero point.
定义了布尔函数的类差分和类差分平衡函数 ,研究了类差分平衡函数的密码学性质以及构造方法。
6) within cluster variation
类内差异
补充资料：差差
1.犹参差。不齐貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条