摘要
K-最近邻算法是数据挖掘分类方法中最常用的算法之一,在很多实际问题上都有应用。本文对近年来基于K-最近邻算法的各种改进技术进行了分析,从速度提高和准确度提高两个方面给予了归纳。
K-Nearest Neighbor algorithm is one of the clustering algorithms in data dining which is often be used to resolve all kinds of problems.In this paper,many improved K-NN algorithms are collected to analysis from two aspects,as efficiency and accuracy.
出处
《河北省科学院学报》
CAS
2009年第4期11-13,共3页
Journal of The Hebei Academy of Sciences
关键词
K-最近邻
分类
算法
K-Nearest Neighbor
Clustering
Algorithm
