模糊蚁群聚类在信息数据判别中的应用

随着信息技术的高速发展,无论是商业企业、科研机构或是政府部门,在过去若干年的时间里都积累了大量的,并以不同形式存储的信息数据资料。针对信息数据十分复杂,仅靠数据库的查询检索机制和统计学方法远不能满足人们需要的问题,提出一种改进的模糊聚类新方法,能够准确、智能地将信息数据转化为明确的专家知识。最后将之与传统方法作对比,突出这种方法对信息数据判别的优势。

Application of Fuzzy Clustering Ant Colony to Information Data Discriminant

With the rapid development of information technology,the commercial enterprises as well as scientific research institutions or government departments,in the past few years,have accumulated lots of different information datas.In view of the complex information data,only the database query retrieval mechanism and statistics method can not meet people’ needs.This paper puts forward an improved fuzzy clustering method,which can put the information data into the accurately,intelligence and clear expert knowledge.Finally,the paper compares it with the traditional method and highlights its advantages.