摘要
传统的最近邻检索和匹配算法不一定能找到最优相似范例,本文提出了一种根据范例间数值型属性对应成比例的原则进行范例匹配的方法,它作为原算法的一个补充,为找到最优相似范例提供了一条有效途径.
The existing nearest-neighbor retrieving and matching algorithms couldnt find the best similar case sometimes. In the paper, a new method of case-matching is provided based on the principle of the proportions between the cases' corresponding digital attributes. This method can be a useful complement of the primary algorithm and it provides an efficient way of finding the best similar case.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2002年第3期348-350,共3页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.60075015)
