【作者】 王静红； 刘教民； 李笔；

【Author】 WANG Jing-hong,LIU Jiao-min, LI Bi (School of Electrical Engineering and Automation, Hebei University of Technology, Tianjin 300130, China; Information Technology School, Heber Normal University, Shijiazhuang 050091, China; Business School, Hebei Normal University, Shijiazhuang 050091, China.

【机构】 河北工业大学电气与自动化学院； 河北师范大学商学院；

【摘要】 对原有消除噪音的方法进行了探讨,提出了基于相似度噪音消除的概念,并在此基础上给出了一个消除噪音的聚类启发式算法(GK-means)．实验结果表明,算法能够进行较为简单而精确的划分,较好地解决了实际领域中存在的噪音问题,证明了此算法比较有效．更多还原

【Abstract】 Several methods of reducing noise are systemic introduced and first a heuristic algorithm using reduce noise in clustering theory (GK-means is proposed). The empirical results show that GK-means can obtain simpler, more precise and handle noises database effectively. The samples are used to prove the validity of this algorithm.更多还原