求翻译：给定一个待分类的测试文档，系统在训练集中查找最相似的k个文档（称为近邻），并根据这些近邻的类别所属情况来给该文档的候选类别评分。是什么意思？

To given a test document to be classified in the training set to find the most similar k documents (called close neighbors), and according to the type of neighbors belong to the candidate category score of the document.

For a given test yet to be classified in the document, the system in the training focus on finding the most similar to the K of the document, known as close neighbors), and on the basis of their neighbors in the category they belong to the document of the candidate class rating.

Assigns one to treat classified the test documents, the system searches the most similar k documents in the training regulations (to be called close neighbor), and gives this documents according to these close neighbor's category respective situation candidate category grading.

Given an unspecified tests document, the system finds the most likely k documents in the training set (called the neighbors), and in accordance with these neighbors category belongs to this document in the context of category candidates scoring.

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