An New Initialization Method for Fuzzy c-Means Algorithm Based on Density

作者：Zou Kai qi^*; Wang Zhi ping; Pei Shao jing; Hu Ming

来源：3rd Annual Conference on Fuzzy Information and Engineering, 2008-12-05 to 2008-12-10.

• Fuzzy c-means algorithm
• Initial cluster center
• Grid
• Density

In this paper an initialization method for fuzzy c-means (FCM) algorithm is proposed in order to solve the two problems of clustering performance affected by initial cluster centers and lower computation speed for FCM. Grid and density are needed to determine the number of clusters and the initial cluster centers automatically. Experiment shows that this method can improve clustering result and shorten clustering time validly.

• 出版日期2009
• 单位大连理工大学