K-Nearest Neighbour is a typical classification method. K-邻近分类算法是个典型的分类算法。
Application of Cluster Analysis and Alternative K-Nearest Neighbour to Classification of Geological and Alloy Samples 用系统聚类分析法与ALKNN法进行地质、合金样品分类研究
To overcome the drawbacks that Nearest Neighbour classification requires huge computation and memory storage, this paper proposes a new algorithm ( ISSARC: Iterative Sample Selection Algorithm based on Reachable and Coverage) based on the conceptions of Reachable and Coverage. 针对近邻法分类需要大量计算和存储的缺点,本文提出一种基于Reachable和Coverage概念的迭代样本挑选算法(ISSARC:IterativeSampleSelectionAlgorithmbasedonReachableandCoverage)。