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fish

于 2007-11-23 发布 文件大小:41KB
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  Fisher线性判别是线性分类算法中最基本的一种算法,其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上,再进行分类。本文将用使用matlab实现Fisher线性判别算法,并给出4种阈值选择的方法。(Fisher Linear Discriminant is a linear classification algorithm as a basic algorithm, its basic idea is to d-dimensional space of the samples are projected onto one of the most easily classified projector online, and then classified. This article will use matlab to achieve Fisher Linear Discriminant algorithm, and gives four kinds of threshold selection method.)

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  • MIMOxitongdexitongrongliang
    、改写例程,编制用Fisher线性判别方法对三维数据求最优方向W的通用函数。 2、对下面表3-1样本数据中的类别ω1和ω2计算最优方向W。 3、画出最优方向W的直线,并标记出投影后的点在直线上的位置(Rewriting routine, the preparation of Fisher linear discriminant method using three-dimensional data on the direction of seeking the best general-purpose function of W. 2, for the following sample data in Table 3-1 in the categories of ω1 and ω2 to compute the optimal direction of W. 3, draw the best straight line the direction of W, and mark out the projection of the points in a straight line after the location of)
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