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A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Algorithm 被引量:2

A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Algorithm
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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. 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.
出处 《Applied Mathematics》 2014年第8期1275-1283,共9页 应用数学(英文)
关键词 HARD C-MEANS CLUSTERING ALGORITHM FUZZY C-MEANS CLUSTERING ALGORITHM Suppressed FUZZY C-MEANS CLUSTERING ALGORITHM Suppressed RATE Hard C-Means Clustering Algorithm Fuzzy C-Means Clustering Algorithm Suppressed Fuzzy C-Means Clustering Algorithm Suppressed Rate
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