A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Algorithm

• 作者: Jing Li Jiulun Fan
• 来源期刊: 应用数学(英文)
• 学科: 工学
• 关键词: HARD C-MEANS CLUSTERING ALGORITHM FUZZY C-MEANS CLUSTERING ALGORITHM Suppressed FUZZY C-MEANS CLUSTERING ALGORITHM Suppressed RATE
• 年，卷（期）: 2014,（8）
• 页码范围: 1275-1283
• 页数: 9页
• 分类号: TP39

摘要

Suppressed fuzzy c-means (S-FCM) clustering algorithm with the intention of combining the higher speed of hard c-means clustering algorithm and the better classification performance of fuzzy c-means clustering algorithm had been studied by many researchers and applied in many fields. In the algorithm, how to select the suppressed rate is a key step. In this paper, we give a method to select the fixed suppressed rate by the structure of the data itself. The experimental results show that the proposed method is a suitable way to select the suppressed rate in suppressed fuzzy c-means clustering algorithm.