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knn

于 2010-11-19 发布文件大小:4KB

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K邻域模式识别方法 KNN算法不仅可以用于分类，还可以用于回归。通过找出一个样本的k个最近邻居，将这些邻居的属性的平均值赋给该样本，就可以得到该样本的属性。更有用的方法是将不同距离的邻居对该样本产生的影响给予不同的权值(weight)，如权值与距离成正比。(k-Nearest Neighbor algorithm )

文件列表：

knn
...\et-knn.m,734,2007-01-15
...\knndsfit.m,6803,2007-11-08
...\knndsinit.m,361,2007-11-08
...\knndsval.m,2015,2007-11-08

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