1) Empowering TCM-KNN Algorithm
赋权TCM-KNN算法
2) TCM-KNN algorithm
TCM-KNN算法
1.
We investigated a data preprocessing based invation deteetion system in view of the problems of low check rate and high false alarm rate of the present system,and proposed an effective preprocessing approach to the data preprocessing subsystem,which integrated the basic processing for a data source and TCM-KNN algorithm based data preprocessing cluster.
就基于数据预处理的入侵检测系统进行了研究,并针对数据预处理子系统,提出了一种有效的预处理方法,即将对数据源的基本处理和基于TCM-KNN算法的数据预处理聚类器相结合。
3) kNN algorithm
kNN算法
1.
Research of Chinese Web classification method based on improved kNN algorithm;
基于改进的kNN算法的中文网页自动分类方法研究
2.
In this paper we will try to improve it on the basis of researching the kNN algorithm.
kNN算法用已归类的数据训练分类器,它是一种基于实例研究(instancebased learning)文本分类算法。
4) weighted Lee algorithm
赋权李算法
1.
In this thesis, the problem can be well overcome by the weighted Lee algorithm,the time complexity of which is O(n~2(n+m)~2 log(n + m)), where n is the number of terminals, m is the number of vertices of obstacles and boundary.
本文介绍的赋权李算法就很好地克服了这个问题。
6) fast KNN algorithm
快速KNN算法
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条