1) tree clustering
树状聚类
1.
In this paper, the principles and methods of tree clustering, k-means clustering and two-way clustering were introduced and applied in the study of genetic types of oil and g.
通过介绍了树状聚类、逐步聚类和双向聚类的原理和方法,并分别应用于油气成因类型研究中,结果表明聚类分析适合多要求下的成因判别,克服了常规方法的局限,判别结果清楚、正确。
2) cluster tree
树状聚类图
3) decision tree based state tying
决策树状态聚类
4) clustering tree
聚类树
1.
An incremental algorithms of data cleansing based on clustering tree;
一种基于聚类树的增量式数据清洗算法
5) tree cluster algorithm
树聚类法
1.
Based on analysing the cluster characters of cladistic classifiation and establishing the concenpt of minimal induced tree of fundamental set, a new method, which can be called tree cluster algorithm, is given.
在分析分支分类的聚类特征和建立基集的最小导出树等概念的基础上，本文给出一个分支分类方法，树聚类法。
补充资料：树类
1.谓有后嗣。
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