摘要
数据挖掘的目标是处理大量的数据,从中提取知识。对模拟退火算法进行改进并应用于数据挖掘中。实验证明,在对数据进行聚类分析时算法体现其有效性,可以获得较好的聚类结果。
The purpose of data mining is to process huge amount of data in order to obtain knowledge.The essay states the development of simulated annealing algorithm and applying to data mining.Experiments prove the method presents efficiency when clustering analysis data,which could gain better clustering results.
出处
《计算机与数字工程》
2008年第2期17-19,共3页
Computer & Digital Engineering
关键词
数据挖掘
模拟退火算法
聚类
data mining,simulated annealing algorithm,clustering
