摘要
模糊聚类是对实际事物进行分类的重要工具,但在聚类算法选择、聚类个数选择、大数据量处理、聚类方法有效性评估等方面有待深入研究。本文将模糊聚类分析原理与实际问题结合起来,重点研究模糊聚类分析的过程和步骤,特别是聚类过程中参数的客主观处理方法。
Fuzzy clustering is an important means for classifying the objective things, and needed to be studied in the choice of clustering algorithms and clustering number, dealing with massive data, effective evaluation on clustering method and so on. The process and steps of fuzzy cluster are studied by combining clustering principle with the actual problems, and the processing method of subjective and objective parameters is discussed in detail.
出处
《网络安全技术与应用》
2014年第1期69-70,共2页
Network Security Technology & Application
关键词
模糊聚类
应用研究
Koywords： Fuzzy clustering
Application Research
