NO.PZ2016082405000014
问题如下：
Using the properties of firms that have already fallen into default/non-default groups to categorize a new observation by how closely it resembles the members already in each of the groups is referred to as:
选项：
A.linear discriminant analysis.
B.the k-nearest neighbor approach.
C.support vector machines.
D.None of the above.
解释：
The K-nearest neighbor is a nonparametric discriminant technique that uses the properties of firms that already have fallen into the categories of interest, and it categorizes a new entrant by how close it resembles the members already in each of the groups.
嗨，从没放弃的小努力你好：
一个圈内有多少好的和坏的，圈的大小也就意味着一定远近程度的范围内啦。
支持向量机主要还是要分类，没有突出一个点和其他的距离说法。
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加油吧，让我们一起遇见更好的自己！
之前老师回复如上↑
有个问题，就是SVM在算的时候，不就是为了找到一个最佳的那个界限，所以会引入距离最短的定义吗？为什么说没有突出一个点和其他的距离说法。
