数据挖掘中聚类分析的研究

Research of Cluster Analysis in Data Mining

聚类分析是由若干个模式组成的,它在数据挖掘中的地位越来越重要。文中阐述了数据挖掘中聚类分析的概念、方法及应用,并通过引用一个用客户交易数据统计出每个客户的交易情况的例子,根据客户行为进行聚类。通过数据挖掘聚类分析,可以及时了解经营状况、资金情况、利润情况、客户群分布等重要的信息。对客户状态、交易行为、自然属性和其他信息进行综合分析,细分客户群,确定核心客户。采用不同的聚类方法,对于相同的记录集合可能有不同的划分结果对其进行关联分析,可为协助各种有效的方案,开展针对性的服务。

Cluster analysis is made up of patterns, and becoming increasingly essential in data mining field. This paper briefly introduces the basic concept, means and application of cluster analysis discussing about cluster analysis by using a case of customer transaction. In order to know about much imoport information of running, funds, profits and customers. And analyze state of client, bargaining action,naturaless attribute and other information, subdivide customer groups and fix on core client. By using various methods of cluster analysis, it is effective project to develop pertinence service.