资 源 简 介
针对传统快速k-近邻分类算法的缺陷,提出了一种基于近邻搜索的快速k-近邻分类算法―――超球搜
索法。该方法通过对特征空间的预组织,使分类在以待分样本为中心的超球内进行,有效地缩小了搜索范围。
-Rapid response to traditional k-neighbors of the defect classification algorithm, a fast search based on neighbor k-neighbor classification algorithm--- Hyperspherical search. The method of the characteristics of the pre-organization of space, so in order to be classified in the sub-sample of the super-ball as the center to carry out, effectively narrowing the scope of the search.
