计算机与数字工程Issue(10)：1771-1774,4.DOI:10.3969/j.issn.1672-9722.2015.10.011
一种基于实现 k-近邻算法的研究
A Research Based on Implementing k-nearest Neighbor Algorithm
摘要
Abstract
The classification algorithm and the clustering algorithm are two important algorithms in machine learning , the two algorithm is indispensable in machine learning .In today’s changing mass data ,it is difficult or impossible to identify the unknown and known for various data identification of data without classification algorithm and the clustering algorithm of the machine ,so the classification algorithm becomes very important in today’s .k‐nearest neighbor algorithm and decision tree algorithm in machine learning method is the classical data classification ,after the author related literature and data in consulting ,case classification two classification algorithm mutually combine and organic using decision tree algorithm to a‐chieve the k‐nearest neighbor algorithm .关键词
k 近邻算法/决策树/实例Key words
k-nearest neighbor algorithm/decision tree/example引用本文复制引用
朱俚治..一种基于实现 k-近邻算法的研究[J].计算机与数字工程,2015,(10):1771-1774,4.基金项目
北京航空航天大学软件开发环境国家重点实验室开放基金资助项目（编号SKLSDE-2013KF-02）资助。 （）
