The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Research on an Adaptive k-Nearest Neighbor Algorithm
Author(s): 
Pages: 70-72
Year: Issue:  2
Journal: APPLICATION RESEARCH OF COMPUTERS

Keyword:  模式分类k-最近邻算法超球BP网络算法;
Abstract: 针对传统k-最近邻算法(k-Nearest Neighbor, kNN)存在搜索慢的缺陷,提出了一种改进型的自适应k-最近邻算法.该方法在以测试样本点为中心的超球内进行搜索,对超球半径的生长进行采样,建立半径生长的BP神经网络模型,逼近半径变化函数,并用该函数指导超球体的生长.该方法有效地缩小了搜索范围,减少了超球体半径生长的试探次数,对处理稀疏数据集有明显的优越性.
Related Articles
No related articles found