Application of Hard C-means and Fuzzy C-means in data fusion

摘要：

　　This article describes two kinds of Fuzzy clustering algorithm based on partition,Fuzzy C-means algorithm is on the basis of the hard C-means algorithm, and get a big improvement, making large data similarity as far as possible together.As a result of Simulation, FCM algorithm has more reasonable than HCM method on convergence, data fusion, and so on.

关键词： Fuzzy Clustering HCM FCM

作者: Tang Ai-Hong Cai Li-An Zhang You-Mei

作者单位: College of information,mechanical and electrical engineering,Shanghai Normal University,Shanghai,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 265-268

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）