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1)  intra-variance
类内差
1.
Clustering validity function based on intra-variance and modified partition coefficient;
基于类内差和改进划分系数的聚类有效性函数
2)  within cluster variation
类内差异
3)  variance within clusters
类内方差
1.
In this paper,a new method for edge detection from complex scenes based on gradient histogram and variance within clusters is proposed(cluster algorithm based on gradient histogram,CAGH).
针对复杂背景中目标边缘提取的问题,提出一种基于梯度幅度直方图和类内方差进行边缘提取的新方法———CAGH(cluster algorithm based on gradient histogram)算法。
4)  minimum interclass variance
类内方差最小化
5)  tolerance relation in decision
决策内容差类
6)  the Minimum Within-Cluster Variance algorithm
最小类内方差法
1.
Due to its good segmentation quality and wide suitable scope,the Minimum Within-Cluster Variance algorithm (Otsu) is applied more and more widely,which is actually the Least-Squares algorithm (L_2-Norm).
最小类内方差法(Otsu法)因其分割精确,适用范围广而成为广泛采用的一种图像阈值分割方法,它实质上是最小二乘法(基于L_2范数)。
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