Based on the experiments, The class clustering method, K-Mean, is used to sort the optimal threshold of the gray- hue histogram.
在实验的基础上，选用聚类法的K-mean算法对色度的灰度级直方图作聚类分析。
参考来源 - 识别杂草和土壤背景的图像处理方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In a situation where you're in a clustering environment with hundreds of replicas, it's impractical to add dependent JAR files and other resources into the class path.
在存在数百副本的集群环境中，将依赖JAR文件和其他资源添加到类路径中的做法并不实际。
Clustering multiple regular linear path expressions into an equivalent class can help to decrease the cost of their evaluation.
把等价的简单正则路径表达式聚成一个等价类可以减少它的计算成本。
It improves the quality of grid partition by refining the edge of the class, so improves the quality of the clustering.
通过在类的边界区域进行细化来提高网格划分的质量从而提高聚类的精度。
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