如题

问题如下：

Which method is described for credit analysis and scoring in the following words？

Assesses the similarities between the input pattern (e.g., default or not default) and a set of reference patterns from the training set. The distance chosen to identify the nearest neighbors is crucial for the results (the new entrant).

选项：

A.

Fisher Linear discriminant analysis

B.

K-nearest neighbor approach.

C.

Parametric discrimination

D.

Support vector machines.

解释：

B is correct.

考点：Quantitative methodologies for credit analysis and scoring

解析：题目中描述的就是K-nearest neighbor approach.