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Wenny · 2020年07月19日

问一道题:NO.PZ2016082405000014 [ FRM II ]

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.

为什么不是选项C呢?
1 个答案

品职答疑小助手雍 · 2020年07月19日

同学你好,见讲义117页,基本是定义原话啦~

支持向量机研究的不是how closely it resembles the members already in each of the groups,而是把点分类开。