摘要
对模糊聚类分析算法进行研究，在模糊Ｃ－ 均值算法（ＦＣＭ）的基础上加以改进，将聚类过程分为二个阶段，形成多阶段模糊Ｃ－ 均值算法（ＭＦＣＭ），使其对Ｉｒｉｓ数据聚类．研究表明：多阶段的模糊Ｃ－ 均值算法比模糊Ｃ－ 均值算法性能优越．
In this paper, A study is made on fuzzy clustering algorithm, Improvements have been made on the fuzzy C-means clustering algorithm (FCM)by dividing it into two stages, which is transformed into Multistage fuzzy C-means clustering Algorithm (MFCM).Numerical experiment is made on the Iris data. The research indicates that the Multistage fuzzy C-means clustering algorithm is more powerful than fuzzy C-means clustering Algorithm.
出处
《南京师大学报（自然科学版）》
CAS
CSCD
1999年第4期19-22,共4页
Journal of Nanjing Normal University(Natural Science Edition)
