中文说明：
SVDD 是一种重要的数据描述方法, 它能够对目标数据集进行超球形描述, 并可用于异类点检测或分类. 在现实生活中目标数据集通常包含多个样本类, 且需要同时对每一个样本类进行超球形描述。
English Description：
SVDD is a kind of important method to describe the data, it is able to super spherical description of target data set, and can be used in heterogeneous point detection or classification. In real life target sample data sets usually contain more than one class, and at the same time for each spherical sample class to describe.