摘要
聚类分析方法有多种,其中的模糊聚类应用最为广泛。简单介绍模糊聚类的发展历程和模糊聚类的几种常用算法,其中重点分析布尔矩阵法和最大树法两种模糊聚类分析算法,并用标准数据集对它们分别进行聚类分析和比较。
There are many means of clustering analysis, one of the most widely used is fuzzy clustering. Briefly introduces the development process of fuzzy clustering and fuzzy clustering of several commonly used algorithms, and focuses on the Boolean matrix method and the maximum tree method of two fuzzy clustering algorithms. Makes analysis and comparison of the two methods by standard data sets.
出处
《现代计算机》
2010年第6期98-101,共4页
Modern Computer
关键词
模糊聚类
布尔矩阵法
最大树法
Fuzzy Clustering
Boolean Matrix Method
Maximum Tree Method
