基于Sugeno模糊测度的SFCM聚类分析算法

THE SFCM CLUSTERING ALGORITHM BASED ON SUGENO'S FUZZY MEASURE

本文给出了新的聚类分析算法—Sugeno模糊C均值聚类算法(SFCM)。SFCM算法是在研究FCM算法和GLCA算法的基础上得到的,且推广了FCM算法和GLCA算法。SFCM算法能通过适当地选择参数λ,解决FCM算法和GLCA算法不能解决的某些模糊聚类分析问题。

This paper presents a new clustering algorithm, the Sugeno's fuzzy C-means clustering algorithm (SFCM). The algorithm is based on research on the FCM algorthm and the GLCA algorithm, and extends the PCM, GLCA algorithms. By proper choice of the A parameter, SFCM algorithm can solve some clustering problems that FCM, GLCA algorithms cannot.