Paper：Learning from Imbalanced Data - by H He et al.
论文链接：Learning from Imbalanced Data 一、基本概念 1、类间不平衡 VS. 类内不平衡 类间不平衡：不同类别之间的数据量相差较大。 类内不平衡：某一个类分布成多个小聚类，每个小聚类数据量相差较大。 如下图： 图(a)中圆形和五角星代表2个不同的类，他们的数目量相差较大，因此属于类间不平衡。 图(b)中：A代表圆形类中数量较大的圆形集合，D代表圆形类中数量较小的圆形集
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相关文章
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