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Fisher

于 2010-03-19 发布 文件大小:1KB
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说明:  使用Fisher 现行判别函数对给定的样本进行训练,对于两类,Fisher线性判别函数很好做,就是 w = Sw (m1 - m2), 其中:Sw为总类内离散度矩阵, m1, m2, 为两个模式类的均值(Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function is well done, that is, w = Sw ' (m1- m2), where: Sw of the total within-class scatter matrices, m1, m2, the mean value for the two pattern class)

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