Thus, a new algorithm: suppressed fuzzy c-means clustering algorithm (S-FCM) is proposed. The new algorithm establishes more natural and more reasonable relationships between HCM clustering algorithm and FCM cl
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...
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 data are classified into high-risk data and...
Aimed at the problem that the traditional suppressed fuzzy C-means clustering algorithms ignore the real needs of different objects, applying the same suppressed parameter for modifying membership degrees of all the objects, a novel partition region-based suppressed fuzzy C-means clustering algorithm ...
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...
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 ...
Analytical and numerical evaluation of the suppressed fuzzy C-means algorithm: a study on the competition in C-means clustering models. Soft Computing, 2010, 14(5): 495-505.László Szilágyi,Sándor M. Szilágyi,Zoltán Benyó.Analytical and numerical evaluation of the suppressed fuzzy c-means ...
"A Fixed Suppressed Rate Selection Method for Suppressed Fuzzy C- Means Clustering Algorithm" Applied Mathematics, 5: 1275-1283.FAN J, LI J. A fixed suppressed rate selection method for suppressed fuzzy C -means clustering algorithm [J]. Applied Mathe- matics, 2014, 5(8) - 1 355.Fan, ...
Fuzzy 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 based on the pixels and the spatial ...
The goal is to improve the fuzzy techniques in inventing a new classification method, called the Improved Modified Suppressed Fuzzy C-Means (IMS-FCM) which modifies another algorithm called Modified Suppressed Fuzzy C-Means (MS-FCM). The latter one works with a common parameter 伪 based on the...