Suchergebnisse - improved fuzzy C-means algorithm

A novel multifactor type-2 fuzzy time series model based on improved fuzzy C-means algorithm and justifiable granularity for stock index forecasting: A novel multifactor type-2 fuzzy time series model based on improved fuzzy C-means algorithm von Gong, Zengtai, Feng, Jindong

“… This is achieved using the fuzzy C -means (FCM) clustering algorithm and the principle of justifiable granularity to partition the universe of discourse …”
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Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm: Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under von Chang, Sheng-Chieh, Jeng, Jin-Tsong

“… This robustness makes it effective in handling fuzzy and uncertain data. Hence, in this paper Hausdorff distance is proposed on interval generalized improved fuzzy partitions fuzzy C-means clustering algorithm for symbolic interval data analysis (SIDA …”
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Remote sensing image segmentation based on a robust fuzzy C-means algorithm improved by a parallel Lévy grey wolf algorithm von Li, M Q, Xu, L P, Gao, Shan, Xu, Na, Yan, Bo

“… Lévy grey wolf optimization algorithm, which is an improved fuzzy C-means segmentation algorithm that combines local information and adaptive gray weighting …”
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Improved Probabilistic Intuitionistic Fuzzy c-Means Clustering Algorithm: Improved PIFCM von Varshney, Ayush K., Danish Lohani, Q. M., Muhuri, Pranab K.

“… Recently proposed Probabilistic Intuitionistic Fuzzy c-Means Algorithm (PIFCM) is a Probabilistic Euclidian distance measure (PEDM …”
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Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm von Alam, Md Shahariar, Rahman, Md Mahbubur, Hossain, Mohammad Amazad, Islam, Md Khairul, Ahmed, Kazi Mowdud, Ahmed, Khandaker Takdir, Singh, Bikash Chandra, Miah, Md Sipon

“… In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM …”
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Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions von Zhu, Lin, Chung, Fu-Lai, Wang, Shitong

“… In view of its distinctive features in applications and its limitation in having m = 2 only, a recent advance of fuzzy clustering called fuzzy c-means clustering with improved fuzzy partitions (IFP-FCM …”
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A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm von Hua, Lei, Gu, Yi, Gu, Xiaoqing, Xue, Jing, Ni, Tongguang

“… Materials and Methods: The fuzzy clustering algorithm establishes the expression of the uncertainty of the sample category and can describe the ambiguity brought by the partial volume effect to the brain MRI image …”
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A novel multifactor type-2 fuzzy time series model based on improved fuzzy C-means algorithm and justifiable granularity for stock index forecasting von Gong, Zengtai, Feng, Jindong

“… This is achieved using the fuzzy C-means (FCM) clustering algorithm and the principle of justifiable granularity to partition the universe of discourse …”
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Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C‐means clustering algorithm von Attioui, Sanae, Najah, Said

“… Deep learning methods have recently displayed ground‐breaking results for synthetic aperture radar image change detection problem. However, they still face the …”
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An Improved Fuzzy c-Means Clustering Algorithm Based on Shadowed Sets and PSO von Zhang, Jian, Shen, Ling

“… To organize the wide variety of data sets automatically and acquire accurate classification, this paper presents a modified fuzzy c-means algorithm (SP-FCM …”
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Retracted: A New Tracking Algorithm Based on Improved Fuzzy C-Means Dynamic Kalman Filter in Sport Video von Engineering, Mathematical Problems in

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A New Tracking Algorithm Based on Improved Fuzzy C-Means Dynamic Kalman Filter in Sport Video von Zhou, Yonghua, Huang, Ting, Li, Shangbin

“… To solve this problem, a soccer detection algorithm was based on class weighted spatial Fuzzy C-means (ws-FCM) was proposed …”
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Non‐stationary signal classification via modified fuzzy C‐means algorithm and improved bacterial foraging algorithm von Sahu, G., Biswal, B., Choubey, A.

“… Summary In this paper, empirical mode decomposition is applied to decompose the non‐stationary power signals that results in a set of maximum and minimum …”
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A Novel Defect Segmentation for Pulse Infrared Images Based on Improved Fuzzy C-Means Algorithm With Weighted Distance von Lin, Jing, Han, Minghong, Li, Guanghu, Wu, Yaman

“… images based on improved fuzzy C-means algorithm with weighted distance is proposed. First, the original infrared images are denoised by wavelet transform …”
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Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm von Huaping, Jia, Junlong, Zhao, Norouzzadeh Gil Molk, A. M.

“… The second stage is to segment the region of interest (ROI). This study uses kernel fuzzy C-means for ROI segmentation …”
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Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems von Zhang, Hongkang, Huang, Shao-Lun

“… The fuzzy c-means (FCM) clustering algorithm is adversely affected by its sensitivity to initial values and its low clustering accuracy …”
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Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images von Loganayagi, T., Sravani, Meesala, Maram, Balajee, Rao, Telu Venkata Madhusudhana

“… –based K-means and improved Fuzzy C Means algorithm (TKFCM). Moreover, in feature extraction …”
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Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning von Miao, Jiaqing, Zhou, Xiaobing, Huang, Ting-Zhu

“… Image segmentation is an active research topic in image processing. The Fuzzy C-means (FCM) clustering analysis has been widely used in image segmentation …”
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An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation von Verma, Hanuman, Agrawal, R.K., Sharan, Aditi

“… Many variants of standard fuzzy c-means (FCM) algorithm have been proposed to handle the noise …”
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Improved fuzzy C-means algorithm based on density peak von Liu, Xiang-yi, Fan, Jian-cong, Chen, Zi-wen

“… Fuzzy C-means (FCM) algorithm is a fuzzy clustering algorithm based on objective function compared with typical “hard clustering …”
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