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 d
RETRACTED: A robust kernelized intuitionistic fuzzy c-means clustering algorithm in segmentation of noisy medical image Soni, A. Gosain, A robust kernelized intuitionistic fuzzy c-means clustering algorithm in segmentation of noisy medical images, Pattern Recogn. Lett. 34 (... Prabhjot,Kaur,K A.,...
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...
"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, ...
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 ...
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 ...
Suppressed fuzzy clustering algorithmPrincipal component analysis algorithmIn 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....
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 segme...
Summary: Bias-corrected fuzzy c-means (BCFCM) algorithm with spatial information has been proven effective for image segmentation. It still lacks enough robustness to noise and outliers. Some kernel versions of FCM with spatial constraints, such as $KFCM\\_S_{1}, KFCM\\_S _{2}$ and GK...