期刊名称：International Journal of Computer Systems Science and Engineering
印刷版ISSN：1307-430X
出版年度：2007
卷号：03
期号：04
页码：180-180
出版社：World Academy of Science, Engineering and Technology
摘要：Intelligent systems are required in order to quickly and
accurately analyze enormous quantities of data in the Internet
environment. In intelligent systems, information extracting processes
can be divided into supervised learning and unsupervised learning.
This paper investigates intelligent clustering by unsupervised learning.
Intelligent clustering is the clustering system which determines the
clustering model for data analysis and evaluates results by itself. This
system can make a clustering model more rapidly, objectively and
accurately than an analyzer. The methodology for the automatic
clustering intelligent system is a multi-agent system that comprises a
clustering agent and a cluster performance evaluation agent. An agent
exchanges information about clusters with another agent and the
system determines the optimal cluster number through this
information. Experiments using data sets in the UCI Machine
Repository are performed in order to prove the validity of the system.
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