TITLE:
A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Algorithm
AUTHORS:
Jiulun Fan, Jing Li
KEYWORDS:
Hard C-Means Clustering Algorithm, Fuzzy C-Means Clustering Algorithm, Suppressed Fuzzy C-Means Clustering Algorithm, Suppressed Rate
JOURNAL NAME:
Applied Mathematics,
Vol.5 No.8,
May
8,
2014
ABSTRACT: 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.