A Gravitational Fuzzy C-Means Clustering Algorithm Based on Density Weight

摘要：

　　Fuzzy C-means clustering algorithm(FCM) is sensitive to its initialization of value and noise data and easy to fall into local minimum points,while it cant get the global optimal solution.This paper introduces gravitation and density weight into the process of clustering,and proposes a gravitational Fuzzy C-Means clustering algorithm based on density weight (DWGFCM).The experimental results show that the algorithm has better global optimal solution,overcomes the shortcomings of traditional Fuzzy C-means clustering algorithm.Clustering results are obviously better than FCM algorithm.

关键词： Data Clustering Fuzzy C-means Clustering Algorithm Gravitation Density Weight

作者: Tianwu Zhang Gongbing Guo

作者单位: Computer Science & Engineering Department,Henan Institute of Engineering,Xinzheng,China College of Computer & Communication Engineering,Zhengzhou University of light Industry,Zhengzhou,Chi

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1681-1685

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）