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 data are classified into high-risk data and...
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 Algorithm. Applied Mathematics, 5, 1275-1283. http://dx.doi.org/10.4236/am.2014.58119FAN J L, LI J. A fixed suppressed rate selection method for suppressed fuzzy c-means clustering algo-rithm[J]. Applied...
(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 ...
suppressed fuzzy c-meansparameter selectionmagnetic resonance image segmentationThis paper presents an algorithm, 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...
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 ...