1) outlying partition
离群划分
1.
With outlying partition and reduction and the analyzing method of the key attribute subspace of outliers are put forward,this paper presents an algorithm for outlying reduction and analyzes its complexity.
以粗糙集理论的属性约简技术为基础,定义了属性离群贡献度等概念对高维数据集离群特性进行了量化描述,提出了离群划分与离群约简思想以及离群数据关键属性域子空间分析方法,给出了一种离群约简算法并分析了算法复杂性。
2) outlying partition similarity
离群划分相似度
3) assemblage classification
集群划分
1.
Phytoplankton assemblage classification in Anbang River wetland in summer;
安邦河湿地夏季浮游植物集群划分
5) group division
种群划分
1.
This paper proposes an improved algorithm with group division and hybridization, which divides the initial populations into groups and hybridizing local best individuals between groups to improve searching speed and stability.
该文提出一种基于种群划分和杂交的免疫遗传算法,通过划分种群并对种群间的最优个体进行杂交来提高算法的速率和稳定性。
6) classification of sections
组群划分
1.
Leaf epidermal characteristics and classification of sections of Leymus from China;
国产赖草属的叶表皮特征与组群划分
补充资料：絶类离群
1.出众超群。 2.与人群隔绝。脱离尘俗。
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