经典的C -均值聚类算法（CMA）是将图像分割成C类的常用方法，但依赖于初始聚类中心的选择。

The classical C-means clustering algorithm (CMA) is a well-known clustering method to partition an image into homogeneous regions.

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使用打开类将新方法添加到内置类是一种将表现力添加到 DSL 的常用技术。

Using open classes to add new methods to a built-in class is a common technique for adding expressiveness to DSLs.

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Grails为您提供了保存常用方法的位置，并且超越了任何单个的域类：即服务。

Grails gives you a place to store commonly used methods that transcend any single domain class: services.

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