在平均欧氏距离系数基础上，运用UPGMA法，对甘草属12个类群的核型资料进行了Q型聚类分析。
In this paper, based on average Eucli dean distance coefficient, using UPGMA, Q cluster analysis for karyotype of 12taxa in genes glycyrrhiza L. have been conducted.
在秩效应排序的基础上，构造了平均秩效应原则，并对因素各水平进行有向聚类分析。
Based on rank effect in order of size, a principle of the average rank effect is constructed and the ordinal cluster analysis is done for every level of factor.
提出了一种基于聚类分析方法构建入侵检测库的模型，实现了按k -平均值方法建立入侵检测库并据此划分安全等级的思想。
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels.
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