Intending to achieve an algorithm characterized by the quick convergence of hard c-means (HCM) and finer partitions of fuzzy c-means (FCM), suppressed fuzzy c-means (s-FCM) clustering was designed to augment the gap between high and low values of the fuzzy membership functions. Suppression ...
In order to improve the effectiveness of intrusion detection, an intrusion detection method of the Internet of Things (IoT) is proposed by suppressed fuzzy clustering (SFC) algorithm and principal component analysis (PCA) algorithm. In this method, the d
Suppressed fuzzy c -means (s-FCM) clustering was introduced with the intention of combining the higher convergence speed of hard c -means (HCM) clustering with the finer partition quality of fuzzy c -means (FCM) algorithm. Suppression modifies the FCM iteration by creating a competition among ...
The possibilistic c-means (PCM) clustering algorithm always suffers from a coincident clustering problem since it relaxes the probabilistic constraint in the fuzzy c-means (FCM) clustering algorithm. In this paper, to overcome the shortcoming of the PCM, a novel suppressed possibilistic c-means (S...
(2014) A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C-Means Clustering Al- gorithm. Applied Mathematics, 5, 1275-1283. http://dx.doi.org/10.4236/am.2014.58119A fixed suppressed rate selection method for suppressed fuzzy C-means clustering algorithm. FAN J,LI J. Journal of ...
(2010) Analytical and Numerical Evaluation of the Suppressed Fuzzy c-Means Algorithm: A Study on the Competition in c-Means Clustering Models. Soft Computing, 14, 495-505. http://dx.doi.org/10.1007/s00500-009-0452-yLászló Szilágyi,Sándor M. Szilágyi,Zoltán Benyó.Analytical and ...
called the modified suppressed fuzzy c-means (MS-FCM), that simultaneously performs clustering and parameter selection for the suppressed fuzzy c-means (S-FCM) algorithm proposed by [Fan, J.L., Zhen, W.Z., Xie, W.X., 2003. Suppressed fuzzy c-means clustering algorithm. Pattern Recognition...
Suppressed FCM algorithmImage SegmentationFuzzy C-Means clustering(FCM) algorithm plays an important role in image segmentation, but it is sensitive to noise because of not taking into account the spatial information. Addressing this problem, this paper presents an improved suppressed FCM algorithm ...
The modified picture fuzzy partition information is used to update the cluster center of the sample, which speeds up the convergence speed of the algorithm. The adaptive selection of suppression factors makes the picture fuzzy clustering obtain faster operation efficiency and better segmentation ...
In the fuzzy clustering process, the clustering number for image or text data to be classified is not easy to determine or unknown. The competitive learning algorithm can automatically determine the optimal clustering number to avoid the problem of inappropriate artificial selection. In this paper, ...