哈尔滨工业大学学报（英文版）2007，Vol.14Issue(1)：69-73,5.
A new-style clustering algorithm based on swarm intelligent theory
A new-style clustering algorithm based on swarm intelligent theory
摘要
Abstract
Traditional clustering algorithms generally have some problems, such as the sensitivity to initializing parameter, difficulty in finding out the optimization clustering result and the validity of clustering. In this paper, a FSM and a mathematic model of a new-style clustering algorithm based on the swarm intelligence are provided. In this algorithm, the clustering main body moves in a three-dimensional space and has the abilities of memory, communication, analysis, judgment and coordinating information. Experimental results conform that this algorithm has many merits such as insensitive to the order of the data, capable of dealing with exceptional,high-dimension or complicated data. The algorithm can be used in the fields of Web mining, incremental clustering, economic analysis, pattern recognition, document classification and so on.关键词
data mining/swarm intelligence/clustering/Web mining/incremental clusteringKey words
data mining/swarm intelligence/clustering/Web mining/incremental clustering分类
信息技术与安全科学引用本文复制引用
CHEN Zhuo ,LIU Xiang-shuang..A new-style clustering algorithm based on swarm intelligent theory[J].哈尔滨工业大学学报（英文版）,2007,14(1):69-73,5.基金项目
Sponsored by the Scientific Research Start-up Foundation of Qingdao University of Science and Technology. （）
