摘要
文章建立了聚类分析问题模型,分析了K-均值算法、模拟退火算法和蚁群算法的优缺点,结果表明蚁群算法比较有效。
An optimization model of clustering problem is given in this paper.The advantages and shortages of K-Means algorithm,simulated annealing algorithm and ant colony algorithm are analyzed,and the effectiveness of ant colony algorithm is illustrated through result.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第8期90-91,232,共3页
Computer Engineering and Applications
关键词
聚类分析
蚁群算法
K-均值算法
模拟退火算法
Clustering problem,Ant colony algorithm,K-Means algorithm,Simulated annealing algorithm
